Adaptive change detection in Hawk-Eye bi-temporal images

Yue Li; Dayong Ren; Zhenhong Jia; Sengseng Song; Jiajia Wang; Gang Zhou

doi:10.1117/12.3035299

19 July 2024 Adaptive change detection in Hawk-Eye bi-temporal images

Yue Li, Dayong Ren, Zhenhong Jia, Sengseng Song, Jiajia Wang, Gang Zhou

Proceedings Volume 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024); 132130L (2024) https://doi.org/10.1117/12.3035299
Event: International Conference on Image Processing and Artificial Intelligence (ICIPAl2024), 2024, Suzhou, China

Abstract

In the domain of remote sensing, Change Detection (CD) from bi-temporal images is crucial. Images from Hawk-Eye platforms provide an adjunct to traditional remote sensing data, but introduce significant challenges, especially under low-illumination and wide field-of-view conditions. These issues include complex noise and minute change regions, making the direct application of conventional CD techniques largely ineffective. To address this, we propose a dedicated plug-and-play module for CD on Hawk-Eye platforms. This innovative module integrates a Dark Channel Enhancement Module (DCE) to improve brightness with a Scale-decoupled Fine-slicing Module (SF) for detailed change region detection. Thorough evaluations on real images from Hawk-Eye platforms demonstrate the module's effectiveness in adapting existing CD methods.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yue Li, Dayong Ren, Zhenhong Jia, Sengseng Song, Jiajia Wang, and Gang Zhou "Adaptive change detection in Hawk-Eye bi-temporal images", Proc. SPIE 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024), 132130L (19 July 2024); https://doi.org/10.1117/12.3035299

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