ISPRS Journal of Photogrammetry and Remote Sensing

Papers
(The TQCC of ISPRS Journal of Photogrammetry and Remote Sensing is 23. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)
ArticleCitations
ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data708
Review on Convolutional Neural Networks (CNN) in vegetation remote sensing632
Google Earth Engine for geo-big data applications: A meta-analysis and systematic review540
A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images446
Conterminous United States land cover change patterns 2001–2016 from the 2016 National Land Cover Database373
Above-ground biomass estimation and yield prediction in potato by using UAV-based RGB and hyperspectral imaging230
Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark215
UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery197
National wetland mapping in China: A new product resulting from object-based and hierarchical classification of Landsat 8 OLI images194
A deep translation (GAN) based change detection network for optical and SAR remote sensing images186
Improved land cover map of Iran using Sentinel imagery within Google Earth Engine and a novel automatic workflow for land cover classification using migrated training samples181
FAIR1M: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery175
Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusion170
Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks170
Rotation-aware and multi-scale convolutional neural network for object detection in remote sensing images169
X-ModalNet: A semi-supervised deep cross-modal network for classification of remote sensing data164
Oriented objects as pairs of middle lines147
Examining earliest identifiable timing of crops using all available Sentinel 1/2 imagery and Google Earth Engine145
UAVid: A semantic segmentation dataset for UAV imagery138
Mapping coastal wetlands of China using time series Landsat images in 2018 and Google Earth Engine133
Self-attention for raw optical Satellite Time Series Classification133
Multimodal remote sensing benchmark datasets for land cover classification with a shared and specific feature learning model129
PBNet: Part-based convolutional neural network for complex composite object detection in remote sensing imagery126
Efficient structure from motion for large-scale UAV images: A review and a comparison of SfM tools123
Learning deep semantic segmentation network under multiple weakly-supervised constraints for cross-domain remote sensing image semantic segmentation120
Land-Use/Land-Cover change detection based on a Siamese global learning framework for high spatial resolution remote sensing imagery112
A Global Context-aware and Batch-independent Network for road extraction from VHR satellite imagery111
Development and application of a new mangrove vegetation index (MVI) for rapid and accurate mangrove mapping109
Remote sensing image segmentation advances: A meta-analysis107
Sentinel SAR-optical fusion for crop type mapping using deep learning and Google Earth Engine105
HyperLi-Net: A hyper-light deep learning network for high-accurate and high-speed ship detection from synthetic aperture radar imagery104
ABCNet: Attentive bilateral contextual network for efficient semantic segmentation of Fine-Resolution remotely sensed imagery102
Deep learning-based remote and social sensing data fusion for urban region function recognition102
A spatially explicit surface urban heat island database for the United States: Characterization, uncertainties, and possible applications101
Mapping croplands of Europe, Middle East, Russia, and Central Asia using Landsat, Random Forest, and Google Earth Engine100
Detection of banana plants and their major diseases through aerial images and machine learning methods: A case study in DR Congo and Republic of Benin97
UAV in the advent of the twenties: Where we stand and what is next96
Thick cloud and cloud shadow removal in multitemporal imagery using progressively spatio-temporal patch group deep learning93
Growing status observation for oil palm trees using Unmanned Aerial Vehicle (UAV) images91
CLNet: Cross-layer convolutional neural network for change detection in optical remote sensing imagery90
A novel deep learning instance segmentation model for automated marine oil spill detection89
SceneNet: Remote sensing scene classification deep learning network using multi-objective neural evolution architecture search88
Evaluation of Sentinel-1 & 2 time series for predicting wheat and rapeseed phenological stages87
A practical approach to reconstruct high-quality Landsat NDVI time-series data by gap filling and the Savitzky–Golay filter87
Identifying floods and flood-affected paddy rice fields in Bangladesh based on Sentinel-1 imagery and Google Earth Engine87
Automated tree-crown and height detection in a young forest plantation using mask region-based convolutional neural network (Mask R-CNN)85
A review of image fusion techniques for pan-sharpening of high-resolution satellite imagery83
Local climate zone mapping as remote sensing scene classification using deep learning: A case study of metropolitan China83
Under-canopy UAV laser scanning for accurate forest field measurements82
Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects82
A deep learning framework for matching of SAR and optical imagery82
From LiDAR point cloud towards digital twin city: Clustering city objects based on Gestalt principles81
Land surface phenology as indicator of global terrestrial ecosystem dynamics: A systematic review80
An attention-fused network for semantic segmentation of very-high-resolution remote sensing imagery78
Robust deep alignment network with remote sensing knowledge graph for zero-shot and generalized zero-shot remote sensing image scene classification78
Directionally constrained fully convolutional neural network for airborne LiDAR point cloud classification77
Counting of grapevine berries in images via semantic segmentation using convolutional neural networks76
Accurate derivation of stem curve and volume using backpack mobile laser scanning75
Parsing very high resolution urban scene images by learning deep ConvNets with edge-aware loss74
Exploring multiscale object-based convolutional neural network (multi-OCNN) for remote sensing image classification at high spatial resolution71
Thin cloud removal in optical remote sensing images based on generative adversarial networks and physical model of cloud distortion71
Efficient RTM-based training of machine learning regression algorithms to quantify biophysical & biochemical traits of agricultural crops71
Developing a machine learning based cotton yield estimation framework using multi-temporal UAS data70
FCCDN: Feature constraint network for VHR image change detection70
Development and evaluation of a new algorithm for detecting 30 m land surface phenology from VIIRS and HLS time series69
BT-RoadNet: A boundary and topologically-aware neural network for road extraction from high-resolution remote sensing imagery68
An enhanced pixel-based phenological feature for accurate paddy rice mapping with Sentinel-2 imagery in Google Earth Engine68
Balance learning for ship detection from synthetic aperture radar remote sensing imagery67
The migration of training samples towards dynamic global land cover mapping67
GTP-PNet: A residual learning network based on gradient transformation prior for pansharpening66
Building outline delineation: From aerial images to polygons with an improved end-to-end learning framework66
Estimating crop biomass using leaf area index derived from Landsat 8 and Sentinel-2 data64
Field-scale crop yield prediction using multi-temporal WorldView-3 and PlanetScope satellite data and deep learning64
See the forest and the trees: Effective machine and deep learning algorithms for wood filtering and tree species classification from terrestrial laser scanning64
ChangeMask: Deep multi-task encoder-transformer-decoder architecture for semantic change detection64
Deep SAR-Net: Learning objects from signals64
Land-cover classification of multispectral LiDAR data using CNN with optimized hyper-parameters64
Automatic 3D building reconstruction from multi-view aerial images with deep learning63
Collaborative learning of lightweight convolutional neural network and deep clustering for hyperspectral image semi-supervised classification with limited training samples63
High-resolution triplet network with dynamic multiscale feature for change detection on satellite images62
A robust multimodal remote sensing image registration method and system using steerable filters with first- and second-order gradients61
A geometry-attentional network for ALS point cloud classification61
MLRSNet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding61
Airborne LiDAR point cloud classification with global-local graph attention convolution neural network60
A CNN approach to simultaneously count plants and detect plantation-rows from UAV imagery60
Unsupervised semantic and instance segmentation of forest point clouds60
A coarse-to-fine boundary refinement network for building footprint extraction from remote sensing imagery60
Land use mapping using Sentinel-1 and Sentinel-2 time series in a heterogeneous landscape in Niger, Sahel58
Perception and sensing for autonomous vehicles under adverse weather conditions: A survey58
Estimation of 1-km all-weather remotely sensed land surface temperature based on reconstructed spatial-seamless satellite passive microwave brightness temperature and thermal infrared data58
Long-term monitoring of evapotranspiration using the SEBAL algorithm and Google Earth Engine cloud computing56
Low rank and collaborative representation for hyperspectral anomaly detection via robust dictionary construction56
Estimating daily full-coverage near surface O3, CO, and NO2 concentrations at a high spatial resolution over China based on S5P-TROPOMI and GEOS-FP55
Exploring Sentinel-1 and Sentinel-2 diversity for flood inundation mapping using deep learning55
Large-scale rice mapping under different years based on time-series Sentinel-1 images using deep semantic segmentation model55
HyNet: Hyper-scale object detection network framework for multiple spatial resolution remote sensing imagery54
Geographically and temporally weighted neural networks for satellite-based mapping of ground-level PM2.554
Detection of Xylella fastidiosa infection symptoms with airborne multispectral and thermal imagery: Assessing bandset reduction performance from hyperspectral analysis54
An end-to-end shape modeling framework for vectorized building outline generation from aerial images53
Identifying and mapping individual plants in a highly diverse high-elevation ecosystem using UAV imagery and deep learning53
Kernel low-rank representation with elastic net for China coastal wetland land cover classification using GF-5 hyperspectral imagery52
Enhanced mangrove vegetation index based on hyperspectral images for mapping mangrove52
Characterizing urban land changes of 30 global megacities using nighttime light time series stacks52
Cross-regional oil palm tree counting and detection via a multi-level attention domain adaptation network51
Remote sensing of chlorophyll a concentration in turbid coastal waters based on a global optical water classification system51
Is field-measured tree height as reliable as believed – Part II, A comparison study of tree height estimates from conventional field measurement and low-cost close-range remote sensing in a deciduous 51
Learning from multimodal and multitemporal earth observation data for building damage mapping51
Combined deep prior with low-rank tensor SVD for thick cloud removal in multitemporal images50
Mapping trees along urban street networks with deep learning and street-level imagery50
Monitoring tree-crown scale autumn leaf phenology in a temperate forest with an integration of PlanetScope and drone remote sensing observations50
Deep point embedding for urban classification using ALS point clouds: A new perspective from local to global49
Mapping coastal salt marshes in China using time series of Sentinel-1 SAR48
10-m-resolution mangrove maps of China derived from multi-source and multi-temporal satellite observations48
DKDFN: Domain Knowledge-Guided deep collaborative fusion network for multimodal unitemporal remote sensing land cover classification47
CMGFNet: A deep cross-modal gated fusion network for building extraction from very high-resolution remote sensing images47
Multi-scale deep feature learning network with bilateral filtering for SAR image classification47
Satellite-based data fusion crop type classification and mapping in Rio Grande do Sul, Brazil47
Rapid and large-scale mapping of flood inundation via integrating spaceborne synthetic aperture radar imagery with unsupervised deep learning47
Active fire detection in Landsat-8 imagery: A large-scale dataset and a deep-learning study47
Simultaneous investigation of surface and canopy urban heat islands over global cities46
Texture-aware total variation-based removal of sun glint in hyperspectral images46
Mapping crop types in complex farming areas using SAR imagery with dynamic time warping46
Tropical forest canopy height estimation from combined polarimetric SAR and LiDAR using machine-learning46
A semi-empirical scheme for bathymetric mapping in shallow water by ICESat-2 and Sentinel-2: A case study in the South China Sea46
Vehicle detection of multi-source remote sensing data using active fine-tuning network46
Segmentation of large-scale remotely sensed images on a Spark platform: A strategy for handling massive image tiles with the MapReduce model46
Real-time Semantic Segmentation with Context Aggregation Network46
Mapping landscape canopy nitrogen content from space using PRISMA data45
SLAM-aided forest plot mapping combining terrestrial and mobile laser scanning45
An improved change detection approach using tri-temporal logic-verified change vector analysis45
A framework for large-scale mapping of human settlement extent from Sentinel-2 images via fully convolutional neural networks45
Fully convolutional recurrent networks for multidate crop recognition from multitemporal image sequences45
Aerial image semantic segmentation using DCNN predicted distance maps45
Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark44
Object-level change detection with a dual correlation attention-guided detector44
Validation of baseline and modified Sentinel-2 Level 2 Prototype Processor leaf area index retrievals over the United States43
Deeply supervised convolutional neural network for shadow detection based on a novel aerial shadow imagery dataset43
A point-based deep learning network for semantic segmentation of MLS point clouds43
A differential information residual convolutional neural network for pansharpening43
Urban functional zone mapping by integrating high spatial resolution nighttime light and daytime multi-view imagery43
PlantNet: A dual-function point cloud segmentation network for multiple plant species42
Water clarity in Brazilian water assessed using Sentinel-2 and machine learning methods41
Tree species classification using structural features derived from terrestrial laser scanning41
Combined land surface emissivity and temperature estimation from Landsat 8 OLI and TIRS41
Exploring Google Street View with deep learning for crop type mapping41
Gaussian processes retrieval of LAI from Sentinel-2 top-of-atmosphere radiance data40
Individual tree detection and crown delineation from Unmanned Aircraft System (UAS) LiDAR in structurally complex mixed species eucalypt forests40
A residual convolutional neural network for polarimetric SAR image super-resolution40
Automated digital elevation model (DEM) generation from very-high-resolution Planet SkySat triplet stereo and video imagery40
Deep spatio-spectral Bayesian posterior for hyperspectral image non-i.i.d. noise removal40
Mapping essential urban land use categories with open big data: Results for five metropolitan areas in the United States of America40
Universal SAR and optical image registration via a novel SIFT framework based on nonlinear diffusion and a polar spatial-frequency descriptor40
NDVI-Net: A fusion network for generating high-resolution normalized difference vegetation index in remote sensing39
Feature-preserving 3D mesh simplification for urban buildings39
Robust unsupervised small area change detection from SAR imagery using deep learning39
Cloud and cloud shadow detection for optical satellite imagery: Features, algorithms, validation, and prospects39
Wild animal survey using UAS imagery and deep learning: modified Faster R-CNN for kiang detection in Tibetan Plateau39
Detecting and mapping tree seedlings in UAV imagery using convolutional neural networks and field-verified data38
Attention aware cost volume pyramid based multi-view stereo network for 3D reconstruction38
Improved estimates of monthly land surface temperature from MODIS using a diurnal temperature cycle (DTC) model38
Mapping the condition of macadamia tree crops using multi-spectral UAV and WorldView-3 imagery38
Heuristic sample learning for complex urban scenes: Application to urban functional-zone mapping with VHR images and POI data37
A novel surface water index using local background information for long term and large-scale Landsat images37
Hybrid retrieval of crop traits from multi-temporal PRISMA hyperspectral imagery37
A nested drone-satellite approach to monitoring the ecological conditions of wetlands37
Field-level crop yield estimation with PRISMA and Sentinel-237
Estimation of daily mean land surface temperature at global scale using pairs of daytime and nighttime MODIS instantaneous observations37
DANCE-NET: Density-aware convolution networks with context encoding for airborne LiDAR point cloud classification36
Monitoring surface water area variations of reservoirs using daily MODIS images by exploring sub-pixel information36
GAMSNet: Globally aware road detection network with multi-scale residual learning36
RANSAC-based multi primitive building reconstruction from 3D point clouds36
Robust normal vector estimation in 3D point clouds through iterative principal component analysis35
Atmospheric and sunglint correction for retrieving chlorophyll-a in a productive tropical estuarine-lagoon system using Sentinel-2 MSI imagery35
Flood severity mapping from Volunteered Geographic Information by interpreting water level from images containing people: A case study of Hurricane Harvey35
Comparison of land surface phenology in the Northern Hemisphere based on AVHRR GIMMS3g and MODIS datasets35
Measuring residents’ perceptions of city streets to inform better street planning through deep learning and space syntax35
A geographic information-driven method and a new large scale dataset for remote sensing cloud/snow detection34
Comprehensive time-series analysis of bridge deformation using differential satellite radar interferometry based on Sentinel-134
Spatiotemporal pattern and long-term trend of global surface urban heat islands characterized by dynamic urban-extent method and MODIS data34
Global high-resolution mountain green cover index mapping based on Landsat images and Google Earth Engine34
RETRACTED: Transformer-induced graph reasoning for multimodal semantic segmentation in remote sensing34
A novel cotton mapping index combining Sentinel-1 SAR and Sentinel-2 multispectral imagery33
Crowdsourcing-based indoor mapping using smartphones: A survey33
Analyzing spatial variability in night-time lights using a high spatial resolution color Jilin-1 image – Jerusalem as a case study33
National-scale greenhouse mapping for high spatial resolution remote sensing imagery using a dense object dual-task deep learning framework: A case study of China32
Dual-polarimetric descriptors from Sentinel-1 GRD SAR data for crop growth assessment32
GESAC: Robust graph enhanced sample consensus for point cloud registration32
Change detection-based co-seismic landslide mapping through extended morphological profiles and ensemble strategy32
Infrared dim target detection via mode-k1k2 extension tensor tubal rank under complex ocean environment32
An integrated environmental analytics system (IDEAS) based on a DGGS32
Continuous space ant colony algorithm for automatic selection of orthophoto mosaic seamline network32
The impact of anthropogenic land use change on the protected areas of the Kilombero catchment, Tanzania31
Water level prediction from social media images with a multi-task ranking approach31
Automated and efficient powerline extraction from laser scanning data using a voxel-based subsampling with hierarchical approach31
Improved retrievals of aerosol optical depth and fine mode fraction from GOCI geostationary satellite data using machine learning over East Asia31
Spruce budworm tree host species distribution and abundance mapping using multi-temporal Sentinel-1 and Sentinel-2 satellite imagery31
Application of UAV-based orthomosaics for determination of horizontal displacement caused by underground mining31
FPS-Net: A convolutional fusion network for large-scale LiDAR point cloud segmentation31
Soil moisture content retrieval from Landsat 8 data using ensemble learning31
Radar-based multipoint displacement measurements of a 1200-m-long suspension bridge31
A survey on vision-based outdoor smoke detection techniques for environmental safety30
Deep multisensor learning for missing-modality all-weather mapping30
Robust 3D reconstruction of building surfaces from point clouds based on structural and closed constraints30
Mapping salt marsh along coastal South Carolina using U-Net30
Intertidal topography mapping using the waterline method from Sentinel-1 & -2 images: The examples of Arcachon and Veys Bays in France30
Characterizing spatiotemporal patterns of crop phenology across North America during 2000–2016 using satellite imagery and agricultural survey data30
Water body classification from high-resolution optical remote sensing imagery: Achievements and perspectives30
Per-pixel land cover accuracy prediction: A random forest-based method with limited reference sample data30
Active and incremental learning for semantic ALS point cloud segmentation30
GraNet: Global relation-aware attentional network for semantic segmentation of ALS point clouds30
Understanding the synergies of deep learning and data fusion of multispectral and panchromatic high resolution commercial satellite imagery for automated ice-wedge polygon detection30
Characterizing and classifying urban tree species using bi-monthly terrestrial hyperspectral images in Hong Kong30
Filtering of airborne LiDAR bathymetry based on bidirectional cloth simulation29
Automated building characterization for seismic risk assessment using street-level imagery and deep learning29
Combining graph-cut clustering with object-based stem detection for tree segmentation in highly dense airborne lidar point clouds29
Multi-scale adversarial network for vehicle detection in UAV imagery29
Geocoding of trees from street addresses and street-level images29
Quantifying the shape of urban street trees and evaluating its influence on their aesthetic functions based on mobile lidar data29
Mapping plastic materials in an urban area: Development of the normalized difference plastic index using WorldView-3 superspectral data29
Weakly-supervised domain adaptation for built-up region segmentation in aerial and satellite imagery29
A label-noise robust active learning sample collection method for multi-temporal urban land-cover classification and change analysis29
Task-specific contrastive learning for few-shot remote sensing image scene classification29
Discriminating Xylella fastidiosa from Verticillium dahliae infections in olive trees using thermal- and hyperspectral-based plant traits29
Mapping dominant leaf type based on combined Sentinel-1/-2 data – Challenges for mountainous countries28
PolGAN: A deep-learning-based unsupervised forest height estimation based on the synergy of PolInSAR and LiDAR data28
Deep Gaussian processes for biogeophysical parameter retrieval and model inversion28
Local and global encoder network for semantic segmentation of Airborne laser scanning point clouds28
Modeling strawberry biomass and leaf area using object-based analysis of high-resolution images28
EGDE-Net: A building change detection method for high-resolution remote sensing imagery based on edge guidance and differential enhancement28
A maximum bathymetric depth model to simulate satellite photon-counting lidar performance28
Cross-spatiotemporal land-cover classification from VHR remote sensing images with deep learning based domain adaptation28
Comparison of pixel unmixing models in the evaluation of post-fire forest resilience based on temporal series of satellite imagery at moderate and very high spatial resolution28
An application-driven LOD modeling paradigm for 3D building models28
Mapping fine-scale human disturbances in a working landscape with Landsat time series on Google Earth Engine28
Semantic feature-constrained multitask siamese network for building change detection in high-spatial-resolution remote sensing imagery27
MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation27
Response of winter wheat to spring frost from a remote sensing perspective: Damage estimation and influential factors27
Three-dimensional photogrammetry with deep learning instance segmentation to extract berry fruit harvestability traits27
M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation27
Large-scale deep learning based binary and semantic change detection in ultra high resolution remote sensing imagery: From benchmark datasets to urban application27
SLAM integrated mobile mapping system in complex urban environments27
Appearance based deep domain adaptation for the classification of aerial images27
Deep learning-based individual tree crown delineation in mangrove forests using very-high-resolution satellite imagery27
All-sky longwave downward radiation from satellite measurements: General parameterizations based on LST, column water vapor and cloud top temperature27
A deep learning semantic template matching framework for remote sensing image registration27
From local to global: A transfer learning-based approach for mapping poplar plantations at national scale using Sentinel-226
Multistrategy ensemble regression for mapping of built-up density and height with Sentinel-2 data26
Mapping quality prediction for RTK/PPK-equipped micro-drones operating in complex natural environment26
Tightly-coupled camera/LiDAR integration for point cloud generation from GNSS/INS-assisted UAV mapping systems26
LiDAR-guided dense matching for detecting changes and updating of buildings in Airborne LiDAR data26
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