output
20132026
most citedDeep learning in remote sensing: a review

3.2k citations

154 papers

eess.IV2026★ 1 cited

Mapping melliferous tree species in Kenya via one-class classification with hyperspectral unsupervised domain adaptation

Zhaozhi Luo, Janne Heiskanen, Ilja Vuorinne +6

The beekeeping sector holds significant potential for livelihood diversification among the agropastoral communities in Kenya. Melliferous tree species play a critical role by provi…

cs.CV2026★ 2 cited

DeTracker: Motion-decoupled Vehicle Detection and Tracking in Unstabilized Satellite Videos

Jiajun Chen, Jing Xiao, Shaohan Cao +4

Satellite videos provide continuous observations of surface dynamics but pose significant challenges for multi-object tracking (MOT), especially under unstabilized conditions where…

cs.CV2025

Mask Clustering-based Annotation Engine for Large-Scale Submeter Land Cover Mapping

Hao Chen, Fang Xu, Tamer Saleh +2

Recent advances in remote sensing technology have made submeter resolution imagery increasingly accessible, offering remarkable detail for fine-grained land cover analysis. However…

cs.CV2025★ 3 cited

WHU-STree: A Multi-modal Benchmark Dataset for Street Tree Inventory

Ruifei Ding, Zhe Chen, Wen Fan +5

Street trees are vital to urban livability, providing ecological and social benefits. Establishing a detailed, accurate, and dynamically updated street tree inventory has become es…

cs.CV2025★ 1 cited

SegAssess: Panoramic quality mapping for robust and transferable unsupervised segmentation assessment

Bingnan Yang, Mi Zhang, Zhili Zhang +4

High-quality image segmentation is fundamental to pixel-level geospatial analysis in remote sensing, necessitating robust segmentation quality assessment (SQA), particularly in uns…

cs.CV2025★ 4 cited

Efficient Diffusion-Based 3D Human Pose Estimation with Hierarchical Temporal Pruning

Yuquan Bi, Hongsong Wang, Xinli Shi +3

Diffusion models have demonstrated strong capabilities in generating high-fidelity 3D human poses, yet their iterative nature and multi-hypothesis requirements incur substantial co…

cs.SE2025★ 10 cited

GeoJSEval: An Automated Evaluation Framework for Large Language Models on JavaScript-Based Geospatial Computation and Visualization Code Generation

Guanyu Chen, Haoyue Jiao, Shuyang Hou +6

With the widespread adoption of large language models (LLMs) in code generation tasks, geospatial code generation has emerged as a critical frontier in the integration of artificia…

cs.CV2025★ 4 cited

MSSDF: Modality-Shared Self-supervised Distillation for High-Resolution Multi-modal Remote Sensing Image Learning

Tong Wang, Guanzhou Chen, Xiaodong Zhang +6

Remote sensing image interpretation plays a critical role in environmental monitoring, urban planning, and disaster assessment. However, acquiring high-quality labeled data is ofte…

cs.CV2025★ 7 cited

MT-CYP-Net: Multi-Task Network for Pixel-Level Crop Yield Prediction Under Very Few Samples

Shenzhou Liu, Di Wang, Haonan Guo +2

Accurate and fine-grained crop yield prediction plays a crucial role in advancing global agriculture. However, the accuracy of pixel-level yield estimation based on satellite remot…

cs.CV2025

APCoTTA: Continual Test-Time Adaptation for Semantic Segmentation of Airborne LiDAR Point Clouds

Yuan Gao, Shaobo Xia, Sheng Nie +3

Airborne laser scanning (ALS) point cloud semantic segmentation is a fundamental task for large-scale 3D scene understanding. Fixed models deployed in real-world scenarios often su…

physics.ao-ph2025★ 2 cited

A Mechanism-Learning Deeply Coupled Model for Remote Sensing Retrieval of Global Land Surface Temperature

Tian Xie, Menghui Jiang, Huanfeng Shen +5

Land surface temperature (LST) retrieval from remote sensing data is pivotal for analyzing climate processes and surface energy budgets. However, LST retrieval is an ill-posed inve…

cs.RO2025★ 4 cited

Dynamic Initialization for LiDAR-inertial SLAM

Jie Xu, Yongxin Ma, Yixuan Li +4

The accuracy of the initial state, including initial velocity, gravity direction, and IMU biases, is critical for the initialization of LiDAR-inertial SLAM systems. Inaccurate init…

cs.CV2025★ 2 cited

Cutting-edge 3D reconstruction solutions for underwater coral reef images: A review and comparison

Jiageng Zhong, Ming Li, Armin Gruen +3

Corals serve as the foundational habitat-building organisms within reef ecosystems, constructing extensive structures that extend over vast distances. However, their inherent fragi…

cs.CV2024★ 7 cited

SDM-Car: A Dataset for Small and Dim Moving Vehicles Detection in Satellite Videos

Zhen Zhang, Tao Peng, Liang Liao +2

Vehicle detection and tracking in satellite video is essential in remote sensing (RS) applications. However, upon the statistical analysis of existing datasets, we find that the di…

eess.IV2024★ 6 cited

A Single-Frame and Multi-Frame Cascaded Image Super-Resolution Method

Jing Sun, Qiangqiang Yuan, Huanfeng Shen +2

The objective of image super-resolution is to reconstruct a high-resolution (HR) image with the prior knowledge from one or several low-resolution (LR) images. However, in the real…

cs.CV2024★ 43 cited

ZenSVI: An Open-Source Software for the Integrated Acquisition, Processing and Analysis of Street View Imagery Towards Scalable Urban Science

Koichi Ito, Yihan Zhu, Mahmoud Abdelrahman +9

Street view imagery (SVI) has been instrumental in many studies in the past decade to understand and characterize street features and the built environment. Researchers across a va…

astro-ph.EP2024

A novel ephemeris model for Martian moons incorporating their free rotation

Yongzhang Yang, Kai Huang, Jianguo Yan +1

High precision ephemerides not only support space missions, but can also be used to study the origin and future of celestial bodies. In this paper, a coupled orbit rotation dynamic…

cs.SE2024★ 16 cited

Geo-FuB: A Method for Constructing an Operator-Function Knowledge Base for Geospatial Code Generation Tasks Using Large Language Models

Shuyang Hou, Anqi Zhao, Jianyuan Liang +2

The rise of spatiotemporal data and the need for efficient geospatial modeling have spurred interest in automating these tasks with large language models (LLMs). However, general L…

cs.SE2024★ 36 cited

GeoCode-GPT: A Large Language Model for Geospatial Code Generation Tasks

Shuyang Hou, Zhangxiao Shen, Anqi Zhao +5

The increasing demand for spatiotemporal data and modeling tasks in geosciences has made geospatial code generation technology a critical factor in enhancing productivity. Although…

cs.CV2024★ 29 cited

BFA-YOLO: A balanced multiscale object detection network for building façade attachments detection

Yangguang Chen, Tong Wang, Guanzhou Chen +7

The detection of façade elements on buildings, such as doors, windows, balconies, air conditioning units, billboards, and glass curtain walls, is a critical step in automating the…

q-bio.QM2024★ 20 cited

Enhancing Terrestrial Net Primary Productivity Estimation with EXP-CASA: A Novel Light Use Efficiency Model Approach

Guanzhou Chen, Kaiqi Zhang, Xiaodong Zhang +8

The Light Use Efficiency model, epitomized by the CASA model, is extensively applied in the quantitative estimation of vegetation Net Primary Productivity. However, the classic CAS…

cs.CV2024★ 19 cited

Single-Temporal Supervised Learning for Universal Remote Sensing Change Detection

Zhuo Zheng, Yanfei Zhong, Ailong Ma +1

Bitemporal supervised learning paradigm always dominates remote sensing change detection using numerous labeled bitemporal image pairs, especially for high spatial resolution (HSR)…

cs.CV2024★ 74 cited

C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images

Chengxi Han, Chen Wu, Meiqi Hu +2

A high-precision feature extraction model is crucial for change detection (CD). In the past, many deep learning-based supervised CD methods learned to recognize change feature patt…

cs.CV2024★ 47 cited

LMFNet: An Efficient Multimodal Fusion Approach for Semantic Segmentation in High-Resolution Remote Sensing

Tong Wang, Guanzhou Chen, Xiaodong Zhang +5

Despite the rapid evolution of semantic segmentation for land cover classification in high-resolution remote sensing imagery, integrating multiple data modalities such as Digital S…