ISPRS Journal of Photogrammetry and Remote Sensing

(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 2020-04-01 to 2024-04-01.)
ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data741
Review on Convolutional Neural Networks (CNN) in vegetation remote sensing667
Google Earth Engine for geo-big data applications: A meta-analysis and systematic review560
A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images475
Conterminous United States land cover change patterns 2001–2016 from the 2016 National Land Cover Database383
Above-ground biomass estimation and yield prediction in potato by using UAV-based RGB and hyperspectral imaging239
UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery217
Registration of large-scale terrestrial laser scanner point clouds: A review and benchmark217
National wetland mapping in China: A new product resulting from object-based and hierarchical classification of Landsat 8 OLI images200
A deep translation (GAN) based change detection network for optical and SAR remote sensing images194
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 samples187
Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusion179
FAIR1M: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery178
Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks176
X-ModalNet: A semi-supervised deep cross-modal network for classification of remote sensing data167
Oriented objects as pairs of middle lines152
UAVid: A semantic segmentation dataset for UAV imagery143
Mapping coastal wetlands of China using time series Landsat images in 2018 and Google Earth Engine139
Self-attention for raw optical Satellite Time Series Classification138
Multimodal remote sensing benchmark datasets for land cover classification with a shared and specific feature learning model131
Efficient structure from motion for large-scale UAV images: A review and a comparison of SfM tools128
PBNet: Part-based convolutional neural network for complex composite object detection in remote sensing imagery126
Learning deep semantic segmentation network under multiple weakly-supervised constraints for cross-domain remote sensing image semantic segmentation121
Land-Use/Land-Cover change detection based on a Siamese global learning framework for high spatial resolution remote sensing imagery120
A Global Context-aware and Batch-independent Network for road extraction from VHR satellite imagery116
Development and application of a new mangrove vegetation index (MVI) for rapid and accurate mangrove mapping115
Remote sensing image segmentation advances: A meta-analysis110
Sentinel SAR-optical fusion for crop type mapping using deep learning and Google Earth Engine109
ABCNet: Attentive bilateral contextual network for efficient semantic segmentation of Fine-Resolution remotely sensed imagery107
HyperLi-Net: A hyper-light deep learning network for high-accurate and high-speed ship detection from synthetic aperture radar imagery106
A spatially explicit surface urban heat island database for the United States: Characterization, uncertainties, and possible applications104
Deep learning-based remote and social sensing data fusion for urban region function recognition103
Mapping croplands of Europe, Middle East, Russia, and Central Asia using Landsat, Random Forest, and Google Earth Engine103
Detection of banana plants and their major diseases through aerial images and machine learning methods: A case study in DR Congo and Republic of Benin100
UAV in the advent of the twenties: Where we stand and what is next98
CLNet: Cross-layer convolutional neural network for change detection in optical remote sensing imagery95
Thick cloud and cloud shadow removal in multitemporal imagery using progressively spatio-temporal patch group deep learning95
Growing status observation for oil palm trees using Unmanned Aerial Vehicle (UAV) images93
A practical approach to reconstruct high-quality Landsat NDVI time-series data by gap filling and the Savitzky–Golay filter92
A novel deep learning instance segmentation model for automated marine oil spill detection90
Identifying floods and flood-affected paddy rice fields in Bangladesh based on Sentinel-1 imagery and Google Earth Engine89
Evaluation of Sentinel-1 & 2 time series for predicting wheat and rapeseed phenological stages89
SceneNet: Remote sensing scene classification deep learning network using multi-objective neural evolution architecture search88
Automated tree-crown and height detection in a young forest plantation using mask region-based convolutional neural network (Mask R-CNN)87
A review of image fusion techniques for pan-sharpening of high-resolution satellite imagery86
Local climate zone mapping as remote sensing scene classification using deep learning: A case study of metropolitan China85
A deep learning framework for matching of SAR and optical imagery85
From LiDAR point cloud towards digital twin city: Clustering city objects based on Gestalt principles84
Under-canopy UAV laser scanning for accurate forest field measurements84
Land surface phenology as indicator of global terrestrial ecosystem dynamics: A systematic review83
An attention-fused network for semantic segmentation of very-high-resolution remote sensing imagery83
Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects83
Counting of grapevine berries in images via semantic segmentation using convolutional neural networks79
Robust deep alignment network with remote sensing knowledge graph for zero-shot and generalized zero-shot remote sensing image scene classification79
Directionally constrained fully convolutional neural network for airborne LiDAR point cloud classification78
Exploring multiscale object-based convolutional neural network (multi-OCNN) for remote sensing image classification at high spatial resolution77
FCCDN: Feature constraint network for VHR image change detection77
Balance learning for ship detection from synthetic aperture radar remote sensing imagery76
Thin cloud removal in optical remote sensing images based on generative adversarial networks and physical model of cloud distortion76
Parsing very high resolution urban scene images by learning deep ConvNets with edge-aware loss75
Efficient RTM-based training of machine learning regression algorithms to quantify biophysical & biochemical traits of agricultural crops73
An enhanced pixel-based phenological feature for accurate paddy rice mapping with Sentinel-2 imagery in Google Earth Engine71
BT-RoadNet: A boundary and topologically-aware neural network for road extraction from high-resolution remote sensing imagery70
Field-scale crop yield prediction using multi-temporal WorldView-3 and PlanetScope satellite data and deep learning70
Developing a machine learning based cotton yield estimation framework using multi-temporal UAS data70
Perception and sensing for autonomous vehicles under adverse weather conditions: A survey70
ChangeMask: Deep multi-task encoder-transformer-decoder architecture for semantic change detection69
Building outline delineation: From aerial images to polygons with an improved end-to-end learning framework67
Land-cover classification of multispectral LiDAR data using CNN with optimized hyper-parameters67
GTP-PNet: A residual learning network based on gradient transformation prior for pansharpening66
See the forest and the trees: Effective machine and deep learning algorithms for wood filtering and tree species classification from terrestrial laser scanning66
Automatic 3D building reconstruction from multi-view aerial images with deep learning66
A coarse-to-fine boundary refinement network for building footprint extraction from remote sensing imagery65
High-resolution triplet network with dynamic multiscale feature for change detection on satellite images65
Estimating crop biomass using leaf area index derived from Landsat 8 and Sentinel-2 data64
A CNN approach to simultaneously count plants and detect plantation-rows from UAV imagery63
A geometry-attentional network for ALS point cloud classification63
Airborne LiDAR point cloud classification with global-local graph attention convolution neural network62
MLRSNet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding62
A robust multimodal remote sensing image registration method and system using steerable filters with first- and second-order gradients62
Long-term monitoring of evapotranspiration using the SEBAL algorithm and Google Earth Engine cloud computing61
Unsupervised semantic and instance segmentation of forest point clouds60
Land use mapping using Sentinel-1 and Sentinel-2 time series in a heterogeneous landscape in Niger, Sahel59
Exploring Sentinel-1 and Sentinel-2 diversity for flood inundation mapping using deep learning59
Large-scale rice mapping under different years based on time-series Sentinel-1 images using deep semantic segmentation model58
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
Characterizing urban land changes of 30 global megacities using nighttime light time series stacks57
Detection of Xylella fastidiosa infection symptoms with airborne multispectral and thermal imagery: Assessing bandset reduction performance from hyperspectral analysis57
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-FP56
Enhanced mangrove vegetation index based on hyperspectral images for mapping mangrove55
Identifying and mapping individual plants in a highly diverse high-elevation ecosystem using UAV imagery and deep learning54
HyNet: Hyper-scale object detection network framework for multiple spatial resolution remote sensing imagery54
An end-to-end shape modeling framework for vectorized building outline generation from aerial images54
Kernel low-rank representation with elastic net for China coastal wetland land cover classification using GF-5 hyperspectral imagery54
Geographically and temporally weighted neural networks for satellite-based mapping of ground-level PM2.554
Learning from multimodal and multitemporal earth observation data for building damage mapping53
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 53
Mapping trees along urban street networks with deep learning and street-level imagery52
CMGFNet: A deep cross-modal gated fusion network for building extraction from very high-resolution remote sensing images52
DKDFN: Domain Knowledge-Guided deep collaborative fusion network for multimodal unitemporal remote sensing land cover classification52
Remote sensing of chlorophyll a concentration in turbid coastal waters based on a global optical water classification system52
Active fire detection in Landsat-8 imagery: A large-scale dataset and a deep-learning study51
Combined deep prior with low-rank tensor SVD for thick cloud removal in multitemporal images51
Monitoring tree-crown scale autumn leaf phenology in a temperate forest with an integration of PlanetScope and drone remote sensing observations51
Cross-regional oil palm tree counting and detection via a multi-level attention domain adaptation network51
Deep point embedding for urban classification using ALS point clouds: A new perspective from local to global50
Simultaneous investigation of surface and canopy urban heat islands over global cities49
10-m-resolution mangrove maps of China derived from multi-source and multi-temporal satellite observations49
Mapping coastal salt marshes in China using time series of Sentinel-1 SAR49
Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark49
Multi-scale deep feature learning network with bilateral filtering for SAR image classification48
Satellite-based data fusion crop type classification and mapping in Rio Grande do Sul, Brazil48
Vehicle detection of multi-source remote sensing data using active fine-tuning network48
Mapping crop types in complex farming areas using SAR imagery with dynamic time warping48
Rapid and large-scale mapping of flood inundation via integrating spaceborne synthetic aperture radar imagery with unsupervised deep learning48
Tropical forest canopy height estimation from combined polarimetric SAR and LiDAR using machine-learning48
Real-time Semantic Segmentation with Context Aggregation Network47
Object-level change detection with a dual correlation attention-guided detector47
A semi-empirical scheme for bathymetric mapping in shallow water by ICESat-2 and Sentinel-2: A case study in the South China Sea47
Texture-aware total variation-based removal of sun glint in hyperspectral images46
Mapping landscape canopy nitrogen content from space using PRISMA data46
Validation of baseline and modified Sentinel-2 Level 2 Prototype Processor leaf area index retrievals over the United States46
Segmentation of large-scale remotely sensed images on a Spark platform: A strategy for handling massive image tiles with the MapReduce model46
Fully convolutional recurrent networks for multidate crop recognition from multitemporal image sequences46
A framework for large-scale mapping of human settlement extent from Sentinel-2 images via fully convolutional neural networks46
SLAM-aided forest plot mapping combining terrestrial and mobile laser scanning46
Wild animal survey using UAS imagery and deep learning: modified Faster R-CNN for kiang detection in Tibetan Plateau44
A point-based deep learning network for semantic segmentation of MLS point clouds44
A differential information residual convolutional neural network for pansharpening44
Urban functional zone mapping by integrating high spatial resolution nighttime light and daytime multi-view imagery43
Deeply supervised convolutional neural network for shadow detection based on a novel aerial shadow imagery dataset43
PlantNet: A dual-function point cloud segmentation network for multiple plant species43
Combined land surface emissivity and temperature estimation from Landsat 8 OLI and TIRS43
Cloud and cloud shadow detection for optical satellite imagery: Features, algorithms, validation, and prospects42
Water clarity in Brazilian water assessed using Sentinel-2 and machine learning methods42
Gaussian processes retrieval of LAI from Sentinel-2 top-of-atmosphere radiance data42
Mapping essential urban land use categories with open big data: Results for five metropolitan areas in the United States of America42
Exploring Google Street View with deep learning for crop type mapping42
Robust unsupervised small area change detection from SAR imagery using deep learning42
Individual tree detection and crown delineation from Unmanned Aircraft System (UAS) LiDAR in structurally complex mixed species eucalypt forests41
Tree species classification using structural features derived from terrestrial laser scanning41
A novel surface water index using local background information for long term and large-scale Landsat images41
Automated digital elevation model (DEM) generation from very-high-resolution Planet SkySat triplet stereo and video imagery41
Attention aware cost volume pyramid based multi-view stereo network for 3D reconstruction41
Feature-preserving 3D mesh simplification for urban buildings40
Deep spatio-spectral Bayesian posterior for hyperspectral image non-i.i.d. noise removal40
NDVI-Net: A fusion network for generating high-resolution normalized difference vegetation index in remote sensing40
Estimation of daily mean land surface temperature at global scale using pairs of daytime and nighttime MODIS instantaneous observations40
Measuring residents’ perceptions of city streets to inform better street planning through deep learning and space syntax40
Universal SAR and optical image registration via a novel SIFT framework based on nonlinear diffusion and a polar spatial-frequency descriptor40
Detecting and mapping tree seedlings in UAV imagery using convolutional neural networks and field-verified data39
Hybrid retrieval of crop traits from multi-temporal PRISMA hyperspectral imagery39
Improved estimates of monthly land surface temperature from MODIS using a diurnal temperature cycle (DTC) model39
Mapping the condition of macadamia tree crops using multi-spectral UAV and WorldView-3 imagery39
Field-level crop yield estimation with PRISMA and Sentinel-238
A nested drone-satellite approach to monitoring the ecological conditions of wetlands38
GAMSNet: Globally aware road detection network with multi-scale residual learning38
Spatiotemporal pattern and long-term trend of global surface urban heat islands characterized by dynamic urban-extent method and MODIS data37
RANSAC-based multi primitive building reconstruction from 3D point clouds37
Atmospheric and sunglint correction for retrieving chlorophyll-a in a productive tropical estuarine-lagoon system using Sentinel-2 MSI imagery37
DANCE-NET: Density-aware convolution networks with context encoding for airborne LiDAR point cloud classification37
A geographic information-driven method and a new large scale dataset for remote sensing cloud/snow detection36
Flood severity mapping from Volunteered Geographic Information by interpreting water level from images containing people: A case study of Hurricane Harvey36
Monitoring surface water area variations of reservoirs using daily MODIS images by exploring sub-pixel information36
A novel cotton mapping index combining Sentinel-1 SAR and Sentinel-2 multispectral imagery36
Analyzing spatial variability in night-time lights using a high spatial resolution color Jilin-1 image – Jerusalem as a case study36
Robust normal vector estimation in 3D point clouds through iterative principal component analysis36
Comparison of land surface phenology in the Northern Hemisphere based on AVHRR GIMMS3g and MODIS datasets35
RETRACTED: Transformer-induced graph reasoning for multimodal semantic segmentation in remote sensing35
Global high-resolution mountain green cover index mapping based on Landsat images and Google Earth Engine35
Comprehensive time-series analysis of bridge deformation using differential satellite radar interferometry based on Sentinel-135
An integrated environmental analytics system (IDEAS) based on a DGGS34
Infrared dim target detection via mode-k1k2 extension tensor tubal rank under complex ocean environment34
Dual-polarimetric descriptors from Sentinel-1 GRD SAR data for crop growth assessment33
Spruce budworm tree host species distribution and abundance mapping using multi-temporal Sentinel-1 and Sentinel-2 satellite imagery33
Crowdsourcing-based indoor mapping using smartphones: A survey33
Improved retrievals of aerosol optical depth and fine mode fraction from GOCI geostationary satellite data using machine learning over East Asia33
Soil moisture content retrieval from Landsat 8 data using ensemble learning32
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
Per-pixel land cover accuracy prediction: A random forest-based method with limited reference sample data32
GESAC: Robust graph enhanced sample consensus for point cloud registration32
Change detection-based co-seismic landslide mapping through extended morphological profiles and ensemble strategy32
Continuous space ant colony algorithm for automatic selection of orthophoto mosaic seamline network32
Characterizing and classifying urban tree species using bi-monthly terrestrial hyperspectral images in Hong Kong32
FPS-Net: A convolutional fusion network for large-scale LiDAR point cloud segmentation32
Radar-based multipoint displacement measurements of a 1200-m-long suspension bridge32
Water body classification from high-resolution optical remote sensing imagery: Achievements and perspectives32
Quantifying the shape of urban street trees and evaluating its influence on their aesthetic functions based on mobile lidar data31
A coarse-to-fine weakly supervised learning method for green plastic cover segmentation using high-resolution remote sensing images31
Intertidal topography mapping using the waterline method from Sentinel-1 & -2 images: The examples of Arcachon and Veys Bays in France31
The impact of anthropogenic land use change on the protected areas of the Kilombero catchment, Tanzania31
GraNet: Global relation-aware attentional network for semantic segmentation of ALS point clouds31
EGDE-Net: A building change detection method for high-resolution remote sensing imagery based on edge guidance and differential enhancement31
Mapping salt marsh along coastal South Carolina using U-Net31
Water level prediction from social media images with a multi-task ranking approach31
Characterizing spatiotemporal patterns of crop phenology across North America during 2000–2016 using satellite imagery and agricultural survey data31
Automated and efficient powerline extraction from laser scanning data using a voxel-based subsampling with hierarchical approach31
A survey on vision-based outdoor smoke detection techniques for environmental safety31
Application of UAV-based orthomosaics for determination of horizontal displacement caused by underground mining31
Multi-scale adversarial network for vehicle detection in UAV imagery30
M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation30
Mapping plastic materials in an urban area: Development of the normalized difference plastic index using WorldView-3 superspectral data30
Mapping dominant leaf type based on combined Sentinel-1/-2 data – Challenges for mountainous countries30
Filtering of airborne LiDAR bathymetry based on bidirectional cloth simulation30
Robust 3D reconstruction of building surfaces from point clouds based on structural and closed constraints30
Active and incremental learning for semantic ALS point cloud segmentation30
Deep multisensor learning for missing-modality all-weather mapping30
A label-noise robust active learning sample collection method for multi-temporal urban land-cover classification and change analysis30
Understanding the synergies of deep learning and data fusion of multispectral and panchromatic high resolution commercial satellite imagery for automated ice-wedge polygon detection30
Three-dimensional photogrammetry with deep learning instance segmentation to extract berry fruit harvestability traits30
Weakly-supervised domain adaptation for built-up region segmentation in aerial and satellite imagery29
Current trends in deep learning for Earth Observation: An open-source benchmark arena for image classification29
Estimating building height in China from ALOS AW3D3029
Discriminating Xylella fastidiosa from Verticillium dahliae infections in olive trees using thermal- and hyperspectral-based plant traits29
Geocoding of trees from street addresses and street-level images29
Task-specific contrastive learning for few-shot remote sensing image scene classification29
Combining graph-cut clustering with object-based stem detection for tree segmentation in highly dense airborne lidar point clouds29
Automated building characterization for seismic risk assessment using street-level imagery and deep learning29
Deep learning-based individual tree crown delineation in mangrove forests using very-high-resolution satellite imagery29
A maximum bathymetric depth model to simulate satellite photon-counting lidar performance29
From local to global: A transfer learning-based approach for mapping poplar plantations at national scale using Sentinel-228
Cross-frame keypoint-based and spatial motion information-guided networks for moving vehicle detection and tracking in satellite videos28
Performance of deep learning in mapping water quality of Lake Simcoe with long-term Landsat archive28
Modeling strawberry biomass and leaf area using object-based analysis of high-resolution images28
PolGAN: A deep-learning-based unsupervised forest height estimation based on the synergy of PolInSAR and LiDAR data28
Large-scale deep learning based binary and semantic change detection in ultra high resolution remote sensing imagery: From benchmark datasets to urban application28
A deep learning semantic template matching framework for remote sensing image registration28
Mapping fine-scale human disturbances in a working landscape with Landsat time series on Google Earth Engine28
Cross-spatiotemporal land-cover classification from VHR remote sensing images with deep learning based domain adaptation28
Semantic feature-constrained multitask siamese network for building change detection in high-spatial-resolution remote sensing imagery28
A low-cost UAV framework towards ornamental plant detection and counting in the wild28
Deep Gaussian processes for biogeophysical parameter retrieval and model inversion28
SLAM integrated mobile mapping system in complex urban environments28
Local and global encoder network for semantic segmentation of Airborne laser scanning point clouds28
SUM: A benchmark dataset of Semantic Urban Meshes28
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
GLF-CR: SAR-enhanced cloud removal with global–local fusion28
Mapping PM2.5 concentration at a sub-km level resolution: A dual-scale retrieval approach27
A survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities27
MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation27
Leveraging photogrammetric mesh models for aerial-ground feature point matching toward integrated 3D reconstruction27
Nation-wide mapping and classification of ground deformation phenomena through the spatial clustering of P-SBAS InSAR measurements: Italy case study27
Appearance based deep domain adaptation for the classification of aerial images27
Response of winter wheat to spring frost from a remote sensing perspective: Damage estimation and influential factors27
Mapping quality prediction for RTK/PPK-equipped micro-drones operating in complex natural environment27
Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data27
Beyond single receptive field: A receptive field fusion-and-stratification network for airborne laser scanning point cloud classification27
Urban 3D imaging using airborne TomoSAR: Contextual information-based approach in the statistical way27
Tightly-coupled camera/LiDAR integration for point cloud generation from GNSS/INS-assisted UAV mapping systems27