SAR image change detection based on equal weight image fusion and adaptive threshold in the NSST domain
| Autor: | Yinfeng Yu, Jie Yang, Nilola Kasabov, Zhou Wenyan, Jia Zhen-hong |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Atmospheric Science
adaptive threshold Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 0211 other engineering and technologies 02 engineering and technology k-mean algorithm image fusion Image (mathematics) Domain (software engineering) lcsh:Oceanography 0202 electrical engineering electronic engineering information engineering Computer vision lcsh:GC1-1581 Computers in Earth Sciences change detection skin and connective tissue diseases Difference map 021101 geological & geomatics engineering General Environmental Science Non-subsampled shearlet transform Image fusion difference map business.industry Applied Mathematics lcsh:QE1-996.5 Running time lcsh:Geology 020201 artificial intelligence & image processing sense organs Artificial intelligence business Change detection |
| Zdroj: | European Journal of Remote Sensing, Vol 51, Iss 1, Pp 785-794 (2018) |
| ISSN: | 2279-7254 |
| DOI: | 10.1080/22797254.2018.1491804 |
| Popis: | In order to improve the accuracy of change detection and reduce the running time, a change detection method based on equal weight image fusion and adaptive threshold in the NSST domain is proposed. First, the logarithmic transformation is used to transform images and the mean filter is applied to the transformed images. The log-ratio method and the mean ratio method are adopted to generate two kinds of difference images. The final difference image is achieved by equal weight image fusion method. Then, an adaptive threshold denoising method based on non-subsampled shearlet transform (NSST) is used to achieve noise reduction. Finally, the k-means clustering algorithm is utilized to get the change detection results. The experimental results show that the proposed algorithm has better change detection performance than the reference algorithms in visual effect and objective parameters. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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