2.2k citations · 2.3k across the 6 of their papers we have counts for
6 papers
Accurate Building Detection in VHR Remote Sensing Images using Geometric Saliency
Jin Huang, Gui-Song Xia, Fan Hu +1
This paper aims to address the problem of detecting buildings from remote sensing images with very high resolution (VHR). Inspired by the observation that buildings are always more…
Recent advances and opportunities in scene classification of aerial images with deep models
Fan Hu, Gui-Song Xia, Wen Yang +1
Scene classification is a fundamental task in interpretation of remote sensing images, and has become an active research topic in remote sensing community due to its important role…
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…
Exploiting Deep Features for Remote Sensing Image Retrieval: A Systematic Investigation
Xin-Yi Tong, Gui-Song Xia, Fan Hu +3
Remote sensing (RS) image retrieval is of great significant for geological information mining. Over the past two decades, a large amount of research on this task has been carried o…
AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification
Gui-Song Xia, Jingwen Hu, Fan Hu +4
Aerial scene classification, which aims to automatically label an aerial image with a specific semantic category, is a fundamental problem for understanding high-resolution remote…
Dense v.s. Sparse: A Comparative Study of Sampling Analysis in Scene Classification of High-Resolution Remote Sensing Imagery
Jingwen Hu, Gui-Song Xia, Fan Hu +1
Scene classification is a key problem in the interpretation of high-resolution remote sensing imagery. Many state-of-the-art methods, e.g. bag-of-visual-words model and its variant…