Urban Impervious Surface Detection From Remote Sensing Images A review of the methods and challenges YULIANG WANG AND MINGSHI LI U rban impervious surface (UIS) offers potentially valuable information for the development of sustainable urban management strategies and environmental change monitoring actions. In this article, we focus on UIS-detection-related issues, identify and analyze systematic challenges, construct a general processing scheme for UIS detection, provide four categories of major methods, and propose a deep compressive-based convolutional deep belief network (dc-CDBN) method and a novel classification strategy for multisource data fusion models. ©ISTOCKPHOTO.COM/ART WAGER Digital Object Identifier 10.1109/MGRS.2019.2927260 Date of publication: 23 September 2019 64 0274-6638/19©2019IEEE IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE SEPTEMBER 2019