International Journal of Remote Sensing

Papers
(The H4-Index of International Journal of Remote Sensing is 31. 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.)
ArticleCitations
An innovative echo detection system with STM32 gated and PMT adjustable gain for airborne LiDAR86
Feature extraction for hyperspectral image classification: a review85
Information-theoretic feature selection with segmentation-based folded principal component analysis (PCA) for hyperspectral image classification80
Design of supercontinuum laser hyperspectral light detection and ranging (LiDAR) (SCLaHS LiDAR)72
A machine learning-based strategy for estimating non-optically active water quality parameters using Sentinel-2 imagery58
Livestock classification and counting in quadcopter aerial images using Mask R-CNN57
Assessing of Urban Vegetation Biomass in Combination with LiDAR and High-resolution Remote Sensing Images52
DAU-Net: a novel water areas segmentation structure for remote sensing image50
MANet: a multi-level aggregation network for semantic segmentation of high-resolution remote sensing images48
Spatio-temporal analysis of land use and land cover change: a systematic model inter-comparison driven by integrated modelling techniques48
PolarDet: a fast, more precise detector for rotated target in aerial images45
Advancements in the remote sensing of landscape pattern of urban green spaces and vegetation fragmentation45
Cloud/shadow segmentation based on global attention feature fusion residual network for remote sensing imagery44
Dual attention deep fusion semantic segmentation networks of large-scale satellite remote-sensing images44
A2-FPN for semantic segmentation of fine-resolution remotely sensed images43
New SAR target recognition based on YOLO and very deep multi-canonical correlation analysis42
A comprehensive review on remote sensing image registration41
Deep learning-based multi-feature semantic segmentation in building extraction from images of UAV photogrammetry40
Cloud/shadow segmentation based on multi-level feature enhanced network for remote sensing imagery40
Documentation, Three-Dimensional (3D) Modelling and visualization of cultural heritage by using Unmanned Aerial Vehicle (UAV) photogrammetry and terrestrial laser scanners40
Prediction of InSAR deformation time-series using a long short-term memory neural network39
Spatiotemporal Fusion of Remote Sensing Images using a Convolutional Neural Network with Attention and Multiscale Mechanisms38
Assessing Crop Water Stress Index of Citrus Using In-Situ Measurements, Landsat, and Sentinel-2 Data38
Deep learning-based dead pine tree detection from unmanned aerial vehicle images36
Surveying coastal cliffs using two UAV platforms (multirotor and fixed-wing) and three different approaches for the estimation of volumetric changes35
Parametric study of convolutional neural network based remote sensing image classification34
Tree height mapping and crown delineation using LiDAR, large format aerial photographs, and unmanned aerial vehicle photogrammetry in subtropical urban forest34
Crop biophysical parameter retrieval from Sentinel-1 SAR data with a multi-target inversion of Water Cloud Model33
Evaluating generative adversarial networks based image-level domain transfer for multi-source remote sensing image segmentation and object detection32
Characterization analysis and identification of common marine oil spill types using hyperspectral remote sensing32
Machine learning approaches for rice crop yield predictions using time-series satellite data in Taiwan31
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