Urban Impervious Surface Detection From Remote Sensing Images: A review of the methods and challenges

In this article, we focus on HIS-detection-related issues, identify and analyze systematic challenges, construct a general processing scheme for HIS 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.