output
20132026
most citedDeep learning in remote sensing: a review

3.2k citations

Showing 2023Show all

8 papers · 1 filter

cs.CV2023★ 20 cited

Segment Change Model (SCM) for Unsupervised Change detection in VHR Remote Sensing Images: a Case Study of Buildings

Xiaoliang Tan, Guanzhou Chen, Tong Wang +2

The field of Remote Sensing (RS) widely employs Change Detection (CD) on very-high-resolution (VHR) images. A majority of extant deep-learning-based methods hinge on annotated samp…

cs.CV2023★ 50 cited

SAAN: Similarity-aware attention flow network for change detection with VHR remote sensing images

Haonan Guo, Xin Su, Chen Wu +2

Change detection (CD) is a fundamental and important task for monitoring the land surface dynamics in the earth observation field. Existing deep learning-based CD methods typically…

cs.CV2023★ 77 cited

Building Extraction from Remote Sensing Images via an Uncertainty-Aware Network

Wei He, Jiepan Li, Weinan Cao +2

Building extraction aims to segment building pixels from remote sensing images and plays an essential role in many applications, such as city planning and urban dynamic monitoring.…

cs.CV2023★ 22 cited

Mega-cities dominate China's urban greening

Xiaoxin Zhang, Martin Brandt, Xiaoye Tong +10

Trees play a crucial role in urban environments, offering various ecosystem services that contribute to public health and human well-being. China has initiated a range of urban gre…

cs.CV2023★ 19 cited

Building-road Collaborative Extraction from Remotely Sensed Images via Cross-Interaction

Haonan Guo, Xin Su, Chen Wu +2

Buildings are the basic carrier of social production and human life; roads are the links that interconnect social networks. Building and road information has important application…

eess.IV2023★ 17 cited

Geometric Wide-Angle Camera Calibration: A Review and Comparative Study

Jianzhu Huai, Yuan Zhuang, Yuxin Shao +4

Wide-angle cameras are widely used in photogrammetry and autonomous systems which rely on the accurate metric measurements derived from images. To find the geometric relationship b…

cs.CV2023★ 94 cited

DCN-T: Dual Context Network with Transformer for Hyperspectral Image Classification

Di Wang, Jing Zhang, Bo Du +2

Hyperspectral image (HSI) classification is challenging due to spatial variability caused by complex imaging conditions. Prior methods suffer from limited representation ability, a…

cs.CV2023★ 176 cited

Local-Global Temporal Difference Learning for Satellite Video Super-Resolution

Yi Xiao, Qiangqiang Yuan, Kui Jiang +4

Optical-flow-based and kernel-based approaches have been extensively explored for temporal compensation in satellite Video Super-Resolution (VSR). However, these techniques are les…