Multi-Spectral Satellite Image Analysis For Feature Identification And Change Detection

2017 IEEE CONFERENCE ON VISUAL ANALYTICS SCIENCE AND TECHNOLOGY (VAST)(2017)

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摘要
Satellite images are helpful in remote sensing of land features. However, such multi-spectral images cannot be displayed using readily available imaging tools. We developed a tool in Processing that is able to read in multi-spectral images and display each band as a grayscale image. This tool also allows for mapping of any of the bands to red, green or blue channel of the displayed image. In this paper, we describe how such tool can be used in identifying land features as well as assist in finding changes over time. We used our tool to successfully solve the VAST challenge 2017 mini-challenge 3.
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关键词
H.5.2 [Information Interfaces and Presentation]: User Interfaces-Graphical User Interfaces (GUI),H.1.2 [Models and Principles]: User/Machine Systems-Visual Analytics
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