Document Type

Conference Paper

Publication Date

2019

DOI

10.1117/12.2518515

Publication Title

Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV

Volume

10986

Pages

1098616 (15 pp.)

Conference Name

SPIE Defense + Commercial Sensing, Baltimore, Maryland, April 14-18, 2019

Abstract

This paper presents some preliminary results using Landsat and Worldview images for change detection. The studied area had some significant changes such as construction of buildings between May 2014 and October 2015. We investigated several simple, practical, and effective approaches to change detection. For Landsat images, we first performed pansharpening to enhance the resolution to 15 meters. We then performed a chronochrome covariance equalization between two images. The residual between the two equalized images was then analyzed using several simple algorithms such as direct subtraction and global Reed-Xiaoli (GRX) detector. Experimental results using actual Landsat images clearly demonstrated that the proposed methods are effective. For Worldview images, we used pansharpened images with only four bands for change detection. The performance of the aforementioned algorithms is comparable to that of a commercial package developed by Digital Globe.

Comments

Copyright 2019 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.

Publisher's version available at: https://doi.org/10.1117/12.2518515

Original Publication Citation

Kwan, C., Chou, B., Hagen, L., Perez, D., Shen, Y., Li, J., & Koperski, K. (2019). Change detection using Landsat and Worldview images. Paper presented at the Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXV, 16-18 April 2019, Baltimore, Maryland, April 14-18, 2019.

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