most citedLand-Cover Classification with High-Resolution Remote Sensing Images Using Transferable Deep Models

1k citations · 1.2k across the 5 of their papers we have counts for

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cs.CV2018★ 112 cited

Learning RoI Transformer for Detecting Oriented Objects in Aerial Images

Jian Ding, Nan Xue, Yang Long +2

Object detection in aerial images is an active yet challenging task in computer vision because of the birdview perspective, the highly complex backgrounds, and the variant appearan…

cs.CV2018★ 1 cited

GeoSay: A Geometric Saliency for Extracting Buildings in Remote Sensing Images

Gui-Song Xia, Jin Huang, Nan Xue +2

Automatic extraction of buildings in remote sensing images is an important but challenging task and finds many applications in different fields such as urban planning, navigation a…

cs.CV2018★ 1k cited

Land-Cover Classification with High-Resolution Remote Sensing Images Using Transferable Deep Models

Xin-Yi Tong, Gui-Song Xia, Qikai Lu +4

In recent years, large amount of high spatial-resolution remote sensing (HRRS) images are available for land-cover mapping. However, due to the complex information brought by the i…

cs.CV2018★ 4 cited

Large-scale Land Cover Classification in GaoFen-2 Satellite Imagery

Xin-Yi Tong, Qikai Lu, Gui-Song Xia +1

Many significant applications need land cover information of remote sensing images that are acquired from different areas and times, such as change detection and disaster monitorin…

cs.CV2018★ 7 cited

AID++: An Updated Version of AID on Scene Classification

Pu Jin, Gui-Song Xia, Fan Hu +2

Aerial image scene classification is a fundamental problem for understanding high-resolution remote sensing images and has become an active research task in the field of remote sen…