Detecting buildings in aerial images
Computer Vision, Graphics, and Image Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic object extraction from aerial imagery—a survey focusing on buildings
Computer Vision and Image Understanding
Automatic Extraction of Man-Made Objects from Aerial and Space Images
Automatic Extraction of Man-Made Objects from Aerial and Space Images
Automatic Extraction of Man-Made Objects from Aerial and Space Images (II)
Automatic Extraction of Man-Made Objects from Aerial and Space Images (II)
A system to detect houses and residential street networks in multispectral satellite images
Computer Vision and Image Understanding
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With the availability of high-resolution commercial satellite images, automated analysis and object extraction became even a more important topic in remote sensing. As shadows cover a significant portion of an image, they play an important role on automated analysis. While they degrade performance of applications such as image registration, shadow is an important cue for information such as man-made structures. In this article, a shadow detection algorithm that makes use of near-infrared information in combination with RGB bands is introduced. The algorithm is applied on an application for automated building detection.