OOIR: Observatory of International Research

Papers

(The H4-Index of International Journal of Remote Sensing is 29. 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.)

Article	Citations
An innovative echo detection system with STM32 gated and PMT adjustable gain for airborne LiDAR	94
Information-theoretic feature selection with segmentation-based folded principal component analysis (PCA) for hyperspectral image classification	92
A machine learning-based strategy for estimating non-optically active water quality parameters using Sentinel-2 imagery	78
Design of supercontinuum laser hyperspectral light detection and ranging (LiDAR) (SCLaHS LiDAR)	76
A²-FPN for semantic segmentation of fine-resolution remotely sensed images	72
Assessing of Urban Vegetation Biomass in Combination with LiDAR and High-resolution Remote Sensing Images	63
MANet: a multi-level aggregation network for semantic segmentation of high-resolution remote sensing images	58
Prediction of InSAR deformation time-series using a long short-term memory neural network	58
DAU-Net: a novel water areas segmentation structure for remote sensing image	56
Dual attention deep fusion semantic segmentation networks of large-scale satellite remote-sensing images	55
Advancements in the remote sensing of landscape pattern of urban green spaces and vegetation fragmentation	54
PolarDet: a fast, more precise detector for rotated target in aerial images	53
Documentation, Three-Dimensional (3D) Modelling and visualization of cultural heritage by using Unmanned Aerial Vehicle (UAV) photogrammetry and terrestrial laser scanners	50
A comprehensive review on remote sensing image registration	48
Cloud/shadow segmentation based on global attention feature fusion residual network for remote sensing imagery	48
New SAR target recognition based on YOLO and very deep multi-canonical correlation analysis	45
Assessing Crop Water Stress Index of Citrus Using In-Situ Measurements, Landsat, and Sentinel-2 Data	44
Cloud/shadow segmentation based on multi-level feature enhanced network for remote sensing imagery	43
Spatiotemporal Fusion of Remote Sensing Images using a Convolutional Neural Network with Attention and Multiscale Mechanisms	40
A phenological object-based approach for rice crop classification using time-series Sentinel-1 Synthetic Aperture Radar (SAR) data in Taiwan	36
Parametric study of convolutional neural network based remote sensing image classification	36
PMT gain self-adjustment system for high-accuracy echo signal detection	36
Fast and accurate land-cover classification on medium-resolution remote-sensing images using segmentation models	33
NestNet: a multiscale convolutional neural network for remote sensing image change detection	32
Small sample classification of hyperspectral image using model-agnostic meta-learning algorithm and convolutional neural network	31

Convolutional neural networks for water segmentation using sentinel-2 red, green, blue (RGB) composites and derived spectral indices	31
Improving the estimation accuracy of SPAD values for maize leaves by removing UAV hyperspectral image backgrounds	30
Detection and validation of spatiotemporal snow cover variability in the Himalayas using Ku-band (13.5 GHz) SCATSAT-1 data	30
GSCCTL: a general semi-supervised scene classification method for remote sensing images based on clustering and transfer learning	29
Hyperspectral reflectance sensing for quantifying leaf chlorophyll content in wasabi leaves using spectral pre-processing techniques and machine learning algorithms	29