output
20132026
most citedDeep learning in remote sensing: a review

3.2k citations

Showing 2025Show all

11 papers · 1 filter

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…