Change detection based on integration of multi-scale mixed-resolution information

Li Wei; Cheng Wang; Chenglu Wen

doi:10.1117/12.2234908

2 March 2016 Change detection based on integration of multi-scale mixed-resolution information

Li Wei, Cheng Wang, Chenglu Wen

Proceedings Volume 9901, 2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015); 99010H (2016) https://doi.org/10.1117/12.2234908
Event: 2015 ISPRS International Conference on Computer Vision in Remote Sensing, 2015, Xiamen, China

Abstract

In this paper, a new method of unsupervised change detection is proposed by modeling multi-scale change detector based on local mixed information and we present a method of automated threshold. A theoretical analysis is presented to demonstrate that more comprehensive information is taken into account by the integration of multi-scale information. The ROC curves show that change detector based on multi-scale mixed information(MSM) is more effective than based on mixed information(MIX). Experiments on artificial and real-world datasets indicate that the multi-scale change detection of mixed information can eliminate the pseudo-change part of the area. Therefore, the proposed algorithm MSM is an effective method for the application of change detection.

Citation Download Citation

Li Wei, Cheng Wang, and Chenglu Wen "Change detection based on integration of multi-scale mixed-resolution information", Proc. SPIE 9901, 2nd ISPRS International Conference on Computer Vision in Remote Sensing (CVRS 2015), 99010H (2 March 2016); https://doi.org/10.1117/12.2234908

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