activity
20172026
most citedDeep learning in remote sensing: a review

3.2k citations · 6k across the 61 of their papers we have counts for

collaborators
Showing 2020Show all

6 papers · 1 filter

eess.IV2020★ 2 cited

CG-Net: Conditional GIS-aware Network for Individual Building Segmentation in VHR SAR Images

Yao Sun, Yuansheng Hua, Lichao Mou +1

Object retrieval and reconstruction from very high resolution (VHR) synthetic aperture radar (SAR) images are of great importance for urban SAR applications, yet highly challenging…

cs.CV2020★ 2 cited

Instance segmentation of buildings using keypoints

Qingyu Li, Lichao Mou, Yuansheng Hua +4

Building segmentation is of great importance in the task of remote sensing imagery interpretation. However, the existing semantic segmentation and instance segmentation methods oft…

eess.IV2020

Deep Learning Meets SAR

Xiao Xiang Zhu, Sina Montazeri, Mohsin Ali +6

Deep learning in remote sensing has become an international hype, but it is mostly limited to the evaluation of optical data. Although deep learning has been introduced in Syntheti…

cs.CV2020★ 30 cited

Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions

Di Hu, Lichao Mou, Qingzhong Wang +4

Visual crowd counting has been recently studied as a way to enable people counting in crowd scenes from images. Albeit successful, vision-based crowd counting approaches could fail…

cs.CV2020★ 5 cited

Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition

Di Hu, Xuhong Li, Lichao Mou +5

Aerial scene recognition is a fundamental task in remote sensing and has recently received increased interest. While the visual information from overhead images with powerful model…

cs.CV2020★ 8 cited

ERA: A Dataset and Deep Learning Benchmark for Event Recognition in Aerial Videos

Lichao Mou, Yuansheng Hua, Pu Jin +1

Along with the increasing use of unmanned aerial vehicles (UAVs), large volumes of aerial videos have been produced. It is unrealistic for humans to screen such big data and unders…