ISPRS Journal of Photogrammetry and Remote Sensing

Article	Citations
Review on Convolutional Neural Networks (CNN) in vegetation remote sensing	753
A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images	537
UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery	291
A deep translation (GAN) based change detection network for optical and SAR remote sensing images	213
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 samples	204
Cloud removal in Sentinel-2 imagery using a deep residual neural network and SAR-optical data fusion	201
FAIR1M: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery	197
Mapping forest tree species in high resolution UAV-based RGB-imagery by means of convolutional neural networks	196
X-ModalNet: A semi-supervised deep cross-modal network for classification of remote sensing data	180
Oriented objects as pairs of middle lines	163
UAVid: A semantic segmentation dataset for UAV imagery	157
Self-attention for raw optical Satellite Time Series Classification	156
Multimodal remote sensing benchmark datasets for land cover classification with a shared and specific feature learning model	149
Efficient structure from motion for large-scale UAV images: A review and a comparison of SfM tools	143
Land-Use/Land-Cover change detection based on a Siamese global learning framework for high spatial resolution remote sensing imagery	141
Learning deep semantic segmentation network under multiple weakly-supervised constraints for cross-domain remote sensing image semantic segmentation	131
Remote sensing image segmentation advances: A meta-analysis	130
A Global Context-aware and Batch-independent Network for road extraction from VHR satellite imagery	130
PBNet: Part-based convolutional neural network for complex composite object detection in remote sensing imagery	129
Development and application of a new mangrove vegetation index (MVI) for rapid and accurate mangrove mapping	128
UAV in the advent of the twenties: Where we stand and what is next	122
ABCNet: Attentive bilateral contextual network for efficient semantic segmentation of Fine-Resolution remotely sensed imagery	122
Sentinel SAR-optical fusion for crop type mapping using deep learning and Google Earth Engine	121
A spatially explicit surface urban heat island database for the United States: Characterization, uncertainties, and possible applications	116
HyperLi-Net: A hyper-light deep learning network for high-accurate and high-speed ship detection from synthetic aperture radar imagery	112

Detection of banana plants and their major diseases through aerial images and machine learning methods: A case study in DR Congo and Republic of Benin	111
A practical approach to reconstruct high-quality Landsat NDVI time-series data by gap filling and the Savitzky–Golay filter	110
Mapping croplands of Europe, Middle East, Russia, and Central Asia using Landsat, Random Forest, and Google Earth Engine	110
CLNet: Cross-layer convolutional neural network for change detection in optical remote sensing imagery	104
Perception and sensing for autonomous vehicles under adverse weather conditions: A survey	102
Growing status observation for oil palm trees using Unmanned Aerial Vehicle (UAV) images	100
Identifying floods and flood-affected paddy rice fields in Bangladesh based on Sentinel-1 imagery and Google Earth Engine	96
A review of image fusion techniques for pan-sharpening of high-resolution satellite imagery	96
Lidar sheds new light on plant phenomics for plant breeding and management: Recent advances and future prospects	96
Automated tree-crown and height detection in a young forest plantation using mask region-based convolutional neural network (Mask R-CNN)	95
A novel deep learning instance segmentation model for automated marine oil spill detection	95
From LiDAR point cloud towards digital twin city: Clustering city objects based on Gestalt principles	95
SceneNet: Remote sensing scene classification deep learning network using multi-objective neural evolution architecture search	94
An attention-fused network for semantic segmentation of very-high-resolution remote sensing imagery	93
Robust deep alignment network with remote sensing knowledge graph for zero-shot and generalized zero-shot remote sensing image scene classification	92
Land surface phenology as indicator of global terrestrial ecosystem dynamics: A systematic review	91
A deep learning framework for matching of SAR and optical imagery	90
ChangeMask: Deep multi-task encoder-transformer-decoder architecture for semantic change detection	89
FCCDN: Feature constraint network for VHR image change detection	87
Parsing very high resolution urban scene images by learning deep ConvNets with edge-aware loss	86
Balance learning for ship detection from synthetic aperture radar remote sensing imagery	85
Efficient RTM-based training of machine learning regression algorithms to quantify biophysical & biochemical traits of agricultural crops	84
Thin cloud removal in optical remote sensing images based on generative adversarial networks and physical model of cloud distortion	84
A coarse-to-fine boundary refinement network for building footprint extraction from remote sensing imagery	82
Exploring multiscale object-based convolutional neural network (multi-OCNN) for remote sensing image classification at high spatial resolution	80
An enhanced pixel-based phenological feature for accurate paddy rice mapping with Sentinel-2 imagery in Google Earth Engine	80
Field-scale crop yield prediction using multi-temporal WorldView-3 and PlanetScope satellite data and deep learning	80
Automatic 3D building reconstruction from multi-view aerial images with deep learning	78
Long-term monitoring of evapotranspiration using the SEBAL algorithm and Google Earth Engine cloud computing	77
Developing a machine learning based cotton yield estimation framework using multi-temporal UAS data	77
BT-RoadNet: A boundary and topologically-aware neural network for road extraction from high-resolution remote sensing imagery	75
Building outline delineation: From aerial images to polygons with an improved end-to-end learning framework	74
Land-cover classification of multispectral LiDAR data using CNN with optimized hyper-parameters	72
A robust multimodal remote sensing image registration method and system using steerable filters with first- and second-order gradients	71
GTP-PNet: A residual learning network based on gradient transformation prior for pansharpening	70
See the forest and the trees: Effective machine and deep learning algorithms for wood filtering and tree species classification from terrestrial laser scanning	70
A CNN approach to simultaneously count plants and detect plantation-rows from UAV imagery	70
Estimating crop biomass using leaf area index derived from Landsat 8 and Sentinel-2 data	69
Exploring Sentinel-1 and Sentinel-2 diversity for flood inundation mapping using deep learning	69
High-resolution triplet network with dynamic multiscale feature for change detection on satellite images	69
MLRSNet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding	69
Airborne LiDAR point cloud classification with global-local graph attention convolution neural network	67
Land use mapping using Sentinel-1 and Sentinel-2 time series in a heterogeneous landscape in Niger, Sahel	65
Enhanced mangrove vegetation index based on hyperspectral images for mapping mangrove	65
Unsupervised semantic and instance segmentation of forest point clouds	64
Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark	63
Estimation of 1-km all-weather remotely sensed land surface temperature based on reconstructed spatial-seamless satellite passive microwave brightness temperature and thermal infrared data	63
Estimating daily full-coverage near surface O3, CO, and NO2 concentrations at a high spatial resolution over China based on S5P-TROPOMI and GEOS-FP	63
DKDFN: Domain Knowledge-Guided deep collaborative fusion network for multimodal unitemporal remote sensing land cover classification	62
CMGFNet: A deep cross-modal gated fusion network for building extraction from very high-resolution remote sensing images	62

Learning from multimodal and multitemporal earth observation data for building damage mapping	61
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	61
Mapping coastal salt marshes in China using time series of Sentinel-1 SAR	60
Large-scale rice mapping under different years based on time-series Sentinel-1 images using deep semantic segmentation model	60
Measuring residents’ perceptions of city streets to inform better street planning through deep learning and space syntax	60
Characterizing urban land changes of 30 global megacities using nighttime light time series stacks	59
Geographically and temporally weighted neural networks for satellite-based mapping of ground-level PM2.5	59
Tropical forest canopy height estimation from combined polarimetric SAR and LiDAR using machine-learning	59
Active fire detection in Landsat-8 imagery: A large-scale dataset and a deep-learning study	59
An end-to-end shape modeling framework for vectorized building outline generation from aerial images	59
Cross-regional oil palm tree counting and detection via a multi-level attention domain adaptation network	59
Low rank and collaborative representation for hyperspectral anomaly detection via robust dictionary construction	58
Rapid and large-scale mapping of flood inundation via integrating spaceborne synthetic aperture radar imagery with unsupervised deep learning	57
Kernel low-rank representation with elastic net for China coastal wetland land cover classification using GF-5 hyperspectral imagery	57
Mapping trees along urban street networks with deep learning and street-level imagery	56
Satellite-based data fusion crop type classification and mapping in Rio Grande do Sul, Brazil	56
Mapping landscape canopy nitrogen content from space using PRISMA data	55
HyNet: Hyper-scale object detection network framework for multiple spatial resolution remote sensing imagery	55
Monitoring tree-crown scale autumn leaf phenology in a temperate forest with an integration of PlanetScope and drone remote sensing observations	55
Object-level change detection with a dual correlation attention-guided detector	55
Combined deep prior with low-rank tensor SVD for thick cloud removal in multitemporal images	55
PlantNet: A dual-function point cloud segmentation network for multiple plant species	55
Identifying and mapping individual plants in a highly diverse high-elevation ecosystem using UAV imagery and deep learning	55
A semi-empirical scheme for bathymetric mapping in shallow water by ICESat-2 and Sentinel-2: A case study in the South China Sea	54
Mapping crop types in complex farming areas using SAR imagery with dynamic time warping	54
Cloud and cloud shadow detection for optical satellite imagery: Features, algorithms, validation, and prospects	53
Simultaneous investigation of surface and canopy urban heat islands over global cities	52
Wild animal survey using UAS imagery and deep learning: modified Faster R-CNN for kiang detection in Tibetan Plateau	52
Multi-scale deep feature learning network with bilateral filtering for SAR image classification	52
Validation of baseline and modified Sentinel-2 Level 2 Prototype Processor leaf area index retrievals over the United States	51
10-m-resolution mangrove maps of China derived from multi-source and multi-temporal satellite observations	51
A point-based deep learning network for semantic segmentation of MLS point clouds	50
Real-time Semantic Segmentation with Context Aggregation Network	50
Fully convolutional recurrent networks for multidate crop recognition from multitemporal image sequences	49
Vehicle detection of multi-source remote sensing data using active fine-tuning network	49
Hybrid retrieval of crop traits from multi-temporal PRISMA hyperspectral imagery	49
Urban functional zone mapping by integrating high spatial resolution nighttime light and daytime multi-view imagery	48
Texture-aware total variation-based removal of sun glint in hyperspectral images	48
Water clarity in Brazilian water assessed using Sentinel-2 and machine learning methods	48
Mapping essential urban land use categories with open big data: Results for five metropolitan areas in the United States of America	48
Deeply supervised convolutional neural network for shadow detection based on a novel aerial shadow imagery dataset	47
Gaussian processes retrieval of LAI from Sentinel-2 top-of-atmosphere radiance data	47
Attention aware cost volume pyramid based multi-view stereo network for 3D reconstruction	47
Combined land surface emissivity and temperature estimation from Landsat 8 OLI and TIRS	47
Robust unsupervised small area change detection from SAR imagery using deep learning	47
A novel surface water index using local background information for long term and large-scale Landsat images	46
Feature-preserving 3D mesh simplification for urban buildings	46
Field-level crop yield estimation with PRISMA and Sentinel-2	45
Tree species classification using structural features derived from terrestrial laser scanning	45
Individual tree detection and crown delineation from Unmanned Aircraft System (UAS) LiDAR in structurally complex mixed species eucalypt forests	45
Current trends in deep learning for Earth Observation: An open-source benchmark arena for image classification	45
Estimation of daily mean land surface temperature at global scale using pairs of daytime and nighttime MODIS instantaneous observations	44
Detecting and mapping tree seedlings in UAV imagery using convolutional neural networks and field-verified data	44
Water body classification from high-resolution optical remote sensing imagery: Achievements and perspectives	44
NDVI-Net: A fusion network for generating high-resolution normalized difference vegetation index in remote sensing	44
Atmospheric and sunglint correction for retrieving chlorophyll-a in a productive tropical estuarine-lagoon system using Sentinel-2 MSI imagery	43
GAMSNet: Globally aware road detection network with multi-scale residual learning	43
Universal SAR and optical image registration via a novel SIFT framework based on nonlinear diffusion and a polar spatial-frequency descriptor	43
Exploring Google Street View with deep learning for crop type mapping	43
Automated digital elevation model (DEM) generation from very-high-resolution Planet SkySat triplet stereo and video imagery	42
Dual-polarimetric descriptors from Sentinel-1 GRD SAR data for crop growth assessment	42
A nested drone-satellite approach to monitoring the ecological conditions of wetlands	42
A geographic information-driven method and a new large scale dataset for remote sensing cloud/snow detection	42
Estimating building height in China from ALOS AW3D30	42
RANSAC-based multi primitive building reconstruction from 3D point clouds	42
Flood severity mapping from Volunteered Geographic Information by interpreting water level from images containing people: A case study of Hurricane Harvey	42
RETRACTED: Transformer-induced graph reasoning for multimodal semantic segmentation in remote sensing	42
Comparison of land surface phenology in the Northern Hemisphere based on AVHRR GIMMS3g and MODIS datasets	41
Spatiotemporal pattern and long-term trend of global surface urban heat islands characterized by dynamic urban-extent method and MODIS data	41
DANCE-NET: Density-aware convolution networks with context encoding for airborne LiDAR point cloud classification	41
EGDE-Net: A building change detection method for high-resolution remote sensing imagery based on edge guidance and differential enhancement	41
A novel cotton mapping index combining Sentinel-1 SAR and Sentinel-2 multispectral imagery	41
Soil moisture content retrieval from Landsat 8 data using ensemble learning	40
Comprehensive time-series analysis of bridge deformation using differential satellite radar interferometry based on Sentinel-1	40
Improved estimates of monthly land surface temperature from MODIS using a diurnal temperature cycle (DTC) model	40
A survey on vision-based outdoor smoke detection techniques for environmental safety	40
Improved retrievals of aerosol optical depth and fine mode fraction from GOCI geostationary satellite data using machine learning over East Asia	39
Mapping the condition of macadamia tree crops using multi-spectral UAV and WorldView-3 imagery	39
National-scale greenhouse mapping for high spatial resolution remote sensing imagery using a dense object dual-task deep learning framework: A case study of China	38
Change detection-based co-seismic landslide mapping through extended morphological profiles and ensemble strategy	37

GLF-CR: SAR-enhanced cloud removal with global–local fusion	37
Monitoring surface water area variations of reservoirs using daily MODIS images by exploring sub-pixel information	37
Large-scale individual building extraction from open-source satellite imagery via super-resolution-based instance segmentation approach	37
Infrared dim target detection via mode-k1k2 extension tensor tubal rank under complex ocean environment	37
A coarse-to-fine weakly supervised learning method for green plastic cover segmentation using high-resolution remote sensing images	37
Spruce budworm tree host species distribution and abundance mapping using multi-temporal Sentinel-1 and Sentinel-2 satellite imagery	37
Semantic feature-constrained multitask siamese network for building change detection in high-spatial-resolution remote sensing imagery	37
Large-scale deep learning based binary and semantic change detection in ultra high resolution remote sensing imagery: From benchmark datasets to urban application	37
Multi-scale adversarial network for vehicle detection in UAV imagery	37
Application of UAV-based orthomosaics for determination of horizontal displacement caused by underground mining	37
A survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities	36
Task-specific contrastive learning for few-shot remote sensing image scene classification	36
Water level prediction from social media images with a multi-task ranking approach	36
GraNet: Global relation-aware attentional network for semantic segmentation of ALS point clouds	36
Continuous space ant colony algorithm for automatic selection of orthophoto mosaic seamline network	36
Performance of deep learning in mapping water quality of Lake Simcoe with long-term Landsat archive	35
Nation-wide mapping and classification of ground deformation phenomena through the spatial clustering of P-SBAS InSAR measurements: Italy case study	35
Quantifying the shape of urban street trees and evaluating its influence on their aesthetic functions based on mobile lidar data	35
Remote sensing of total suspended matter concentration in lakes across China using Landsat images and Google Earth Engine	35
Characterizing spatiotemporal patterns of crop phenology across North America during 2000–2016 using satellite imagery and agricultural survey data	35
M3C2-EP: Pushing the limits of 3D topographic point cloud change detection by error propagation	35
FPS-Net: A convolutional fusion network for large-scale LiDAR point cloud segmentation	35
Radar-based multipoint displacement measurements of a 1200-m-long suspension bridge	35
Mapping salt marsh along coastal South Carolina using U-Net	35
GESAC: Robust graph enhanced sample consensus for point cloud registration	35
The impact of anthropogenic land use change on the protected areas of the Kilombero catchment, Tanzania	34
Multi-modal temporal attention models for crop mapping from satellite time series	34
Crowdsourcing-based indoor mapping using smartphones: A survey	34
Mapping fine-scale human disturbances in a working landscape with Landsat time series on Google Earth Engine	34
Mapping plastic materials in an urban area: Development of the normalized difference plastic index using WorldView-3 superspectral data	34
Deep multisensor learning for missing-modality all-weather mapping	33
Per-pixel land cover accuracy prediction: A random forest-based method with limited reference sample data	33
Characterizing and classifying urban tree species using bi-monthly terrestrial hyperspectral images in Hong Kong	33
Mapping dominant leaf type based on combined Sentinel-1/-2 data – Challenges for mountainous countries	33
A deep learning semantic template matching framework for remote sensing image registration	33
Mapping corn dynamics using limited but representative samples with adaptive strategies	33
SUM: A benchmark dataset of Semantic Urban Meshes	33
Deep learning-based individual tree crown delineation in mangrove forests using very-high-resolution satellite imagery	33
Cross-frame keypoint-based and spatial motion information-guided networks for moving vehicle detection and tracking in satellite videos	33
Tightly-coupled camera/LiDAR integration for point cloud generation from GNSS/INS-assisted UAV mapping systems	33
Generalized few-shot object detection in remote sensing images	32
Can we detect more ephemeral floods with higher density harmonized Landsat Sentinel 2 data compared to Landsat 8 alone?	32
Understanding the synergies of deep learning and data fusion of multispectral and panchromatic high resolution commercial satellite imagery for automated ice-wedge polygon detection	32
Active and incremental learning for semantic ALS point cloud segmentation	32
Estimation of vegetation traits with kernel NDVI	32
Combining graph-cut clustering with object-based stem detection for tree segmentation in highly dense airborne lidar point clouds	32
BuildMapper: A fully learnable framework for vectorized building contour extraction	31
Robust 3D reconstruction of building surfaces from point clouds based on structural and closed constraints	31
Discriminating Xylella fastidiosa from Verticillium dahliae infections in olive trees using thermal- and hyperspectral-based plant traits	31
Weakly-supervised domain adaptation for built-up region segmentation in aerial and satellite imagery	31
A spectral index for winter wheat mapping using multi-temporal Landsat NDVI data of key growth stages	31
Robust global registration of point clouds by closed-form solution in the frequency domain	31
Structured graph based image regression for unsupervised multimodal change detection	31
Three-dimensional photogrammetry with deep learning instance segmentation to extract berry fruit harvestability traits	31
Cross-spatiotemporal land-cover classification from VHR remote sensing images with deep learning based domain adaptation	31
Automated building characterization for seismic risk assessment using street-level imagery and deep learning	31
Response of winter wheat to spring frost from a remote sensing perspective: Damage estimation and influential factors	31
A maximum bathymetric depth model to simulate satellite photon-counting lidar performance	31
Terrain feature-aware deep learning network for digital elevation model superresolution	31
Mapping PM2.5 concentration at a sub-km level resolution: A dual-scale retrieval approach	30
Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data	30
MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation	30
SLAM integrated mobile mapping system in complex urban environments	30
End-to-end learned early classification of time series for in-season crop type mapping	30
Deep transfer learning of global spectra for local soil carbon monitoring	30
PolGAN: A deep-learning-based unsupervised forest height estimation based on the synergy of PolInSAR and LiDAR data	30
A low-cost UAV framework towards ornamental plant detection and counting in the wild	30
Change detection of urban objects using 3D point clouds: A review	30
A systematic review and meta-analysis of Digital elevation model (DEM) fusion: pre-processing, methods and applications	30
Seamless and automated rapeseed mapping for large cloudy regions using time-series optical satellite imagery	30
Beyond single receptive field: A receptive field fusion-and-stratification network for airborne laser scanning point cloud classification	30
Mapping quality prediction for RTK/PPK-equipped micro-drones operating in complex natural environment	30
A hierarchical self-attention augmented Laplacian pyramid expanding network for change detection in high-resolution remote sensing images	30
Local and global encoder network for semantic segmentation of Airborne laser scanning point clouds	30
Floorplan generation from 3D point clouds: A space partitioning approach	29
Urban 3D imaging using airborne TomoSAR: Contextual information-based approach in the statistical way	29
From local to global: A transfer learning-based approach for mapping poplar plantations at national scale using Sentinel-2	29
An automatic approach for tree species detection and profile estimation of urban street trees using deep learning and Google street view images	29
Unmixing-based Sentinel-2 downscaling for urban land cover mapping	29
Meta captioning: A meta learning based remote sensing image captioning framework	29
Appearance based deep domain adaptation for the classification of aerial images	29
Leveraging photogrammetric mesh models for aerial-ground feature point matching toward integrated 3D reconstruction	29
Large-scale building height retrieval from single SAR imagery based on bounding box regression networks	29
An unsupervised domain adaptation approach for change detection and its application to deforestation mapping in tropical biomes	28
A marker-free method for registering multi-scan terrestrial laser scanning data in forest environments	28
A new weakly supervised approach for ALS point cloud semantic segmentation	28
Nighttime light remote sensing for urban applications: Progress, challenges, and prospects	28
Mapping the distribution of invasive tree species using deep one-class classification in the tropical montane landscape of Kenya	28
Deep Gaussian processes for biogeophysical parameter retrieval and model inversion	28
Multistrategy ensemble regression for mapping of built-up density and height with Sentinel-2 data	28
Individual tree extraction from urban mobile laser scanning point clouds using deep pointwise direction embedding	28
A downscaled bathymetric mapping approach combining multitemporal Landsat-8 and high spatial resolution imagery: Demonstrations from clear to turbid waters	28
From center to surrounding: An interactive learning framework for hyperspectral image classification	27
Taxonomy of seasonal and diurnal clear-sky climatology of surface urban heat island dynamics across global cities	27
Characterizing reflectance anisotropy of background soil in open-canopy plantations using UAV-based multiangular images	27