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 2020-11-01 to 2024-11-01.)
ArticleCitations
Review on Convolutional Neural Networks (CNN) in vegetation remote sensing846
UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery373
A deep translation (GAN) based change detection network for optical and SAR remote sensing images232
FAIR1M: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery224
Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks213
Self-attention for raw optical Satellite Time Series Classification181
Oriented objects as pairs of middle lines174
Multimodal remote sensing benchmark datasets for land cover classification with a shared and specific feature learning model172
Land-Use/Land-Cover change detection based on a Siamese global learning framework for high spatial resolution remote sensing imagery162
ABCNet: Attentive bilateral contextual network for efficient semantic segmentation of Fine-Resolution remotely sensed imagery150
A Global Context-aware and Batch-independent Network for road extraction from VHR satellite imagery145
Remote sensing image segmentation advances: A meta-analysis142
Learning deep semantic segmentation network under multiple weakly-supervised constraints for cross-domain remote sensing image semantic segmentation142
Perception and sensing for autonomous vehicles under adverse weather conditions: A survey140
Sentinel SAR-optical fusion for crop type mapping using deep learning and Google Earth Engine133
UAV in the advent of the twenties: Where we stand and what is next133
PBNet: Part-based convolutional neural network for complex composite object detection in remote sensing imagery131
A practical approach to reconstruct high-quality Landsat NDVI time-series data by gap filling and the Savitzky–Golay filter129
CLNet: Cross-layer convolutional neural network for change detection in optical remote sensing imagery119
Detection of banana plants and their major diseases through aerial images and machine learning methods: A case study in DR Congo and Republic of Benin119
ChangeMask: Deep multi-task encoder-transformer-decoder architecture for semantic change detection116
Growing status observation for oil palm trees using Unmanned Aerial Vehicle (UAV) images110
Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects109
A review of image fusion techniques for pan-sharpening of high-resolution satellite imagery108
FCCDN: Feature constraint network for VHR image change detection107
Automated tree-crown and height detection in a young forest plantation using mask region-based convolutional neural network (Mask R-CNN)107
An attention-fused network for semantic segmentation of very-high-resolution remote sensing imagery106
SceneNet: Remote sensing scene classification deep learning network using multi-objective neural evolution architecture search103
Land surface phenology as indicator of global terrestrial ecosystem dynamics: A systematic review101
Robust deep alignment network with remote sensing knowledge graph for zero-shot and generalized zero-shot remote sensing image scene classification98
Balance learning for ship detection from synthetic aperture radar remote sensing imagery97
Field-scale crop yield prediction using multi-temporal WorldView-3 and PlanetScope satellite data and deep learning94
A deep learning framework for matching of SAR and optical imagery94
Parsing very high resolution urban scene images by learning deep ConvNets with edge-aware loss93
A coarse-to-fine boundary refinement network for building footprint extraction from remote sensing imagery92
Efficient RTM-based training of machine learning regression algorithms to quantify biophysical & biochemical traits of agricultural crops90
An enhanced pixel-based phenological feature for accurate paddy rice mapping with Sentinel-2 imagery in Google Earth Engine88
Long-term monitoring of evapotranspiration using the SEBAL algorithm and Google Earth Engine cloud computing87
Automatic 3D building reconstruction from multi-view aerial images with deep learning84
Enhanced mangrove vegetation index based on hyperspectral images for mapping mangrove84
Exploring Sentinel-1 and Sentinel-2 diversity for flood inundation mapping using deep learning83
Developing a machine learning based cotton yield estimation framework using multi-temporal UAS data82
Building outline delineation: From aerial images to polygons with an improved end-to-end learning framework81
Measuring residents’ perceptions of city streets to inform better street planning through deep learning and space syntax79
CMGFNet: A deep cross-modal gated fusion network for building extraction from very high-resolution remote sensing images79
A robust multimodal remote sensing image registration method and system using steerable filters with first- and second-order gradients79
Active fire detection in Landsat-8 imagery: A large-scale dataset and a deep-learning study79
Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark78
GTP-PNet: A residual learning network based on gradient transformation prior for pansharpening76
A CNN approach to simultaneously count plants and detect plantation-rows from UAV imagery76
MLRSNet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding75
High-resolution triplet network with dynamic multiscale feature for change detection on satellite images75
DKDFN: Domain Knowledge-Guided deep collaborative fusion network for multimodal unitemporal remote sensing land cover classification73
Large-scale rice mapping under different years based on time-series Sentinel-1 images using deep semantic segmentation model70
Airborne LiDAR point cloud classification with global-local graph attention convolution neural network70
Cloud and cloud shadow detection for optical satellite imagery: Features, algorithms, validation, and prospects69
Land use mapping using Sentinel-1 and Sentinel-2 time series in a heterogeneous landscape in Niger, Sahel69
Learning from multimodal and multitemporal earth observation data for building damage mapping69
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 68
Mapping trees along urban street networks with deep learning and street-level imagery67
Mapping coastal salt marshes in China using time series of Sentinel-1 SAR67
Estimating daily full-coverage near surface O3, CO, and NO2 concentrations at a high spatial resolution over China based on S5P-TROPOMI and GEOS-FP66
Low rank and collaborative representation for hyperspectral anomaly detection via robust dictionary construction65
Characterizing urban land changes of 30 global megacities using nighttime light time series stacks65
Tropical forest canopy height estimation from combined polarimetric SAR and LiDAR using machine-learning64
Object-level change detection with a dual correlation attention-guided detector63
PlantNet: A dual-function point cloud segmentation network for multiple plant species63
An end-to-end shape modeling framework for vectorized building outline generation from aerial images63
Mapping landscape canopy nitrogen content from space using PRISMA data62
Rapid and large-scale mapping of flood inundation via integrating spaceborne synthetic aperture radar imagery with unsupervised deep learning62
Mapping crop types in complex farming areas using SAR imagery with dynamic time warping62
Monitoring tree-crown scale autumn leaf phenology in a temperate forest with an integration of PlanetScope and drone remote sensing observations62
Satellite-based data fusion crop type classification and mapping in Rio Grande do Sul, Brazil61
Identifying and mapping individual plants in a highly diverse high-elevation ecosystem using UAV imagery and deep learning61
A point-based deep learning network for semantic segmentation of MLS point clouds60
Kernel low-rank representation with elastic net for China coastal wetland land cover classification using GF-5 hyperspectral imagery60
Combined deep prior with low-rank tensor SVD for thick cloud removal in multitemporal images59
A semi-empirical scheme for bathymetric mapping in shallow water by ICESat-2 and Sentinel-2: A case study in the South China Sea58
Hybrid retrieval of crop traits from multi-temporal PRISMA hyperspectral imagery58
Urban functional zone mapping by integrating high spatial resolution nighttime light and daytime multi-view imagery57
Dual-polarimetric descriptors from Sentinel-1 GRD SAR data for crop growth assessment57
Estimation of vegetation traits with kernel NDVI57
A novel surface water index using local background information for long term and large-scale Landsat images56
A survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities56
Wild animal survey using UAS imagery and deep learning: modified Faster R-CNN for kiang detection in Tibetan Plateau56
Fully convolutional recurrent networks for multidate crop recognition from multitemporal image sequences56
10-m-resolution mangrove maps of China derived from multi-source and multi-temporal satellite observations55
Simultaneous investigation of surface and canopy urban heat islands over global cities55
Validation of baseline and modified Sentinel-2 Level 2 Prototype Processor leaf area index retrievals over the United States55
Current trends in deep learning for Earth Observation: An open-source benchmark arena for image classification54
Real-time Semantic Segmentation with Context Aggregation Network54
Field-level crop yield estimation with PRISMA and Sentinel-254
Mapping essential urban land use categories with open big data: Results for five metropolitan areas in the United States of America53
Attention aware cost volume pyramid based multi-view stereo network for 3D reconstruction52
Water clarity in Brazilian water assessed using Sentinel-2 and machine learning methods52
GLF-CR: SAR-enhanced cloud removal with global–local fusion52
Water body classification from high-resolution optical remote sensing imagery: Achievements and perspectives51
Feature-preserving 3D mesh simplification for urban buildings51
Individual tree detection and crown delineation from Unmanned Aircraft System (UAS) LiDAR in structurally complex mixed species eucalypt forests51
A geographic information-driven method and a new large scale dataset for remote sensing cloud/snow detection50
RANSAC-based multi primitive building reconstruction from 3D point clouds50
Large-scale individual building extraction from open-source satellite imagery via super-resolution-based instance segmentation approach49
Spatiotemporal pattern and long-term trend of global surface urban heat islands characterized by dynamic urban-extent method and MODIS data49
GAMSNet: Globally aware road detection network with multi-scale residual learning49
Robust unsupervised small area change detection from SAR imagery using deep learning49
Soil moisture content retrieval from Landsat 8 data using ensemble learning49
EGDE-Net: A building change detection method for high-resolution remote sensing imagery based on edge guidance and differential enhancement49
Estimation of daily mean land surface temperature at global scale using pairs of daytime and nighttime MODIS instantaneous observations48
Multi-modal temporal attention models for crop mapping from satellite time series47
A survey on vision-based outdoor smoke detection techniques for environmental safety47
Exploring Google Street View with deep learning for crop type mapping47
Atmospheric and sunglint correction for retrieving chlorophyll-a in a productive tropical estuarine-lagoon system using Sentinel-2 MSI imagery47
A novel cotton mapping index combining Sentinel-1 SAR and Sentinel-2 multispectral imagery47
Universal SAR and optical image registration via a novel SIFT framework based on nonlinear diffusion and a polar spatial-frequency descriptor47
A nested drone-satellite approach to monitoring the ecological conditions of wetlands46
Semantic feature-constrained multitask siamese network for building change detection in high-spatial-resolution remote sensing imagery46
Improved retrievals of aerosol optical depth and fine mode fraction from GOCI geostationary satellite data using machine learning over East Asia46
Estimating building height in China from ALOS AW3D3046
Spectral saturation in the remote sensing of high-density vegetation traits: A systematic review of progress, challenges, and prospects46
Task-specific contrastive learning for few-shot remote sensing image scene classification45
Nighttime light remote sensing for urban applications: Progress, challenges, and prospects45
Large-scale deep learning based binary and semantic change detection in ultra high resolution remote sensing imagery: From benchmark datasets to urban application45
Flood severity mapping from Volunteered Geographic Information by interpreting water level from images containing people: A case study of Hurricane Harvey45
Automated digital elevation model (DEM) generation from very-high-resolution Planet SkySat triplet stereo and video imagery44
Deep learning-based individual tree crown delineation in mangrove forests using very-high-resolution satellite imagery44
Can we detect more ephemeral floods with higher density harmonized Landsat Sentinel 2 data compared to Landsat 8 alone?43
Comparison of land surface phenology in the Northern Hemisphere based on AVHRR GIMMS3g and MODIS datasets43
Comprehensive time-series analysis of bridge deformation using differential satellite radar interferometry based on Sentinel-143
Change detection-based co-seismic landslide mapping through extended morphological profiles and ensemble strategy42
Mapping fine-scale human disturbances in a working landscape with Landsat time series on Google Earth Engine42
A coarse-to-fine weakly supervised learning method for green plastic cover segmentation using high-resolution remote sensing images42
Generalized few-shot object detection in remote sensing images42
RETRACTED: Transformer-induced graph reasoning for multimodal semantic segmentation in remote sensing42
Application of UAV-based orthomosaics for determination of horizontal displacement caused by underground mining41
M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation41
Terrain feature-aware deep learning network for digital elevation model superresolution41
Change detection of urban objects using 3D point clouds: A review41
Multi-scale adversarial network for vehicle detection in UAV imagery41
Infrared dim target detection via mode-k1k2 extension tensor tubal rank under complex ocean environment41
A deep learning semantic template matching framework for remote sensing image registration40
Remote sensing of total suspended matter concentration in lakes across China using Landsat images and Google Earth Engine40
End-to-end learned early classification of time series for in-season crop type mapping40
National-scale greenhouse mapping for high spatial resolution remote sensing imagery using a dense object dual-task deep learning framework: A case study of China40
Characterizing spatiotemporal patterns of crop phenology across North America during 2000–2016 using satellite imagery and agricultural survey data39
Cross-frame keypoint-based and spatial motion information-guided networks for moving vehicle detection and tracking in satellite videos39
Spruce budworm tree host species distribution and abundance mapping using multi-temporal Sentinel-1 and Sentinel-2 satellite imagery39
Urban 3D imaging using airborne TomoSAR: Contextual information-based approach in the statistical way39
An automatic approach for tree species detection and profile estimation of urban street trees using deep learning and Google street view images39
Mapping corn dynamics using limited but representative samples with adaptive strategies39
BuildMapper: A fully learnable framework for vectorized building contour extraction38
GraNet: Global relation-aware attentional network for semantic segmentation of ALS point clouds38
Performance of deep learning in mapping water quality of Lake Simcoe with long-term Landsat archive38
Three-dimensional photogrammetry with deep learning instance segmentation to extract berry fruit harvestability traits38
FPS-Net: A convolutional fusion network for large-scale LiDAR point cloud segmentation37
Continuous space ant colony algorithm for automatic selection of orthophoto mosaic seamline network37
Cross-scene wetland mapping on hyperspectral remote sensing images using adversarial domain adaptation network37
Tightly-coupled camera/LiDAR integration for point cloud generation from GNSS/INS-assisted UAV mapping systems37
Deep multisensor learning for missing-modality all-weather mapping37
Crowdsourcing-based indoor mapping using smartphones: A survey37
Mapping salt marsh along coastal South Carolina using U-Net37
Characterizing and classifying urban tree species using bi-monthly terrestrial hyperspectral images in Hong Kong37
Nation-wide mapping and classification of ground deformation phenomena through the spatial clustering of P-SBAS InSAR measurements: Italy case study37
Quantifying the shape of urban street trees and evaluating its influence on their aesthetic functions based on mobile lidar data37
An attention-based multiscale transformer network for remote sensing image change detection37
Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data36
Mapping plastic materials in an urban area: Development of the normalized difference plastic index using WorldView-3 superspectral data36
Mapping dominant leaf type based on combined Sentinel-1/-2 data – Challenges for mountainous countries36
Seamless and automated rapeseed mapping for large cloudy regions using time-series optical satellite imagery36
A maximum bathymetric depth model to simulate satellite photon-counting lidar performance36
Cross-domain landslide mapping from large-scale remote sensing images using prototype-guided domain-aware progressive representation learning36
Structured graph based image regression for unsupervised multimodal change detection36
A systematic review and meta-analysis of Digital elevation model (DEM) fusion: pre-processing, methods and applications36
A new weakly supervised approach for ALS point cloud semantic segmentation35
Beyond single receptive field: A receptive field fusion-and-stratification network for airborne laser scanning point cloud classification35
Discriminating Xylella fastidiosa from Verticillium dahliae infections in olive trees using thermal- and hyperspectral-based plant traits35
Bridging optical and SAR satellite image time series via contrastive feature extraction for crop classification35
Robust 3D reconstruction of building surfaces from point clouds based on structural and closed constraints35
A spectral index for winter wheat mapping using multi-temporal Landsat NDVI data of key growth stages35
Per-pixel land cover accuracy prediction: A random forest-based method with limited reference sample data35
SUM: A benchmark dataset of Semantic Urban Meshes35
Review of ground and aerial methods for vegetation cover fraction (fCover) and related quantities estimation: definitions, advances, challenges, and future perspectives34
PolGAN: A deep-learning-based unsupervised forest height estimation based on the synergy of PolInSAR and LiDAR data34
Cross-spatiotemporal land-cover classification from VHR remote sensing images with deep learning based domain adaptation34
SemiRoadExNet: A semi-supervised network for road extraction from remote sensing imagery via adversarial learning34
Individual tree extraction from urban mobile laser scanning point clouds using deep pointwise direction embedding34
Mapping the distribution of invasive tree species using deep one-class classification in the tropical montane landscape of Kenya33
Breaking the resolution barrier: A low-to-high network for large-scale high-resolution land-cover mapping using low-resolution labels33
From center to surrounding: An interactive learning framework for hyperspectral image classification33
Floorplan generation from 3D point clouds: A space partitioning approach33
Appearance based deep domain adaptation for the classification of aerial images33
Combining graph-cut clustering with object-based stem detection for tree segmentation in highly dense airborne lidar point clouds33
Large-scale building height retrieval from single SAR imagery based on bounding box regression networks33
Deep transfer learning of global spectra for local soil carbon monitoring33
Automated building characterization for seismic risk assessment using street-level imagery and deep learning33
Mapping the annual dynamics of land cover in Beijing from 2001 to 2020 using Landsat dense time series stack33
Active and incremental learning for semantic ALS point cloud segmentation33
Robust global registration of point clouds by closed-form solution in the frequency domain32
Identifying determinants of spatio-temporal disparities in soil moisture of the Northern Hemisphere using a geographically optimal zones-based heterogeneity model32
Local and global encoder network for semantic segmentation of Airborne laser scanning point clouds32
Understanding the synergies of deep learning and data fusion of multispectral and panchromatic high resolution commercial satellite imagery for automated ice-wedge polygon detection32
Taxonomy of seasonal and diurnal clear-sky climatology of surface urban heat island dynamics across global cities32
Task interleaving and orientation estimation for high-precision oriented object detection in aerial images32
Enabling country-scale land cover mapping with meter-resolution satellite imagery32
A hierarchical self-attention augmented Laplacian pyramid expanding network for change detection in high-resolution remote sensing images32
Semi-supervised bidirectional alignment for Remote Sensing cross-domain scene classification31
Meta underwater camera: A smart protocol for underwater image enhancement31
Fourier domain structural relationship analysis for unsupervised multimodal change detection31
Meta captioning: A meta learning based remote sensing image captioning framework31
Global-aware siamese network for change detection on remote sensing images31
From local to global: A transfer learning-based approach for mapping poplar plantations at national scale using Sentinel-231
Physically explainable CNN for SAR image classification30
An unsupervised domain adaptation approach for change detection and its application to deforestation mapping in tropical biomes30
Radiative transfer modeling to measure fire impact and forest engineering resilience at short-term29
How can UAV bridge the gap between ground and satellite observations for quantifying the biomass of desert shrub community?29
Self-supervised monocular depth estimation from oblique UAV videos29
Mapping corn and soybean phenometrics at field scales over the United States Corn Belt by fusing time series of Landsat 8 and Sentinel-2 data with VIIRS data29
Robust registration of aerial images and LiDAR data using spatial constraints and Gabor structural features29
Improving the accuracy of spring phenology detection by optimally smoothing satellite vegetation index time series based on local cloud frequency29
Modelling people’s perceived scene complexity of real-world environments using street-view panoramas and open geodata29
Adversarial unsupervised domain adaptation for 3D semantic segmentation with multi-modal learning29
Characterizing reflectance anisotropy of background soil in open-canopy plantations using UAV-based multiangular images29
Point2Roof: End-to-end 3D building roof modeling from airborne LiDAR point clouds29
Individual tree detection and estimation of stem attributes with mobile laser scanning along boreal forest roads29
A review of regional and Global scale Land Use/Land Cover (LULC) mapping products generated from satellite remote sensing29
Unmixing-based Sentinel-2 downscaling for urban land cover mapping29
AMENet: Attentive Maps Encoder Network for trajectory prediction29
M2H-Net: A Reconstruction Method For Hyperspectral Remotely Sensed Imagery28
A downscaled bathymetric mapping approach combining multitemporal Landsat-8 and high spatial resolution imagery: Demonstrations from clear to turbid waters28
Phenology estimation of subtropical bamboo forests based on assimilated MODIS LAI time series data28
An unsupervised domain adaptation deep learning method for spatial and temporal transferable crop type mapping using Sentinel-2 imagery28
Urban road mapping based on an end-to-end road vectorization mapping network framework28
Robust feature matching via neighborhood manifold representation consensus28
VPC-Net: Completion of 3D vehicles from MLS point clouds28
A full resolution deep learning network for paddy rice mapping using Landsat data28
Estimation of building height using a single street view image via deep neural networks28
Extracting planar roof structures from very high resolution images using graph neural networks28
Benchmarking and scaling of deep learning models for land cover image classification28
Modeling and SAR imaging of the sea surface: A review of the state-of-the-art with simulations28
Multistrategy ensemble regression for mapping of built-up density and height with Sentinel-2 data28
Urban scene understanding based on semantic and socioeconomic features: From high-resolution remote sensing imagery to multi-source geographic datasets27
Mapping China’s planted forests using high resolution imagery and massive amounts of crowdsourced samples27
HyperLoopNet: Hyperspectral image classification using multiscale self-looping convolutional networks27
Detecting high-temperature anomalies from Sentinel-2 MSI images27
Simplified object-based deep neural network for very high resolution remote sensing image classification27
Automated street tree inventory using mobile LiDAR point clouds based on Hough transform and active contours27
Detecting individual abandoned houses from google street view: A hierarchical deep learning approach27
Evaluation of Landsat-8 TIRS data recalibrations and land surface temperature split-window algorithms over a homogeneous crop area with different phenological land covers27
A two-stage approach for road marking extraction and modeling using MLS point clouds27
Histogram of the orientation of the weighted phase descriptor for multi-modal remote sensing image matching26
Novel clustering schemes for full and compact polarimetric SAR data: An application for rice phenology characterization26
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