Multi-Spectral Satellite Image Analysis for Feature Identification and Change Detection VAST Challenge 2017: Honorable Mention for Good Facilitation of Single Image Analysis

Abstract

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.