Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 601-605, 2016
https://doi.org/10.5194/isprs-archives-XLI-B7-601-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
21 Jun 2016
LAND COVER CHANGE DETECTION USING SALIENCY ANDWAVELET TRANSFORMATION
Haopeng Zhang1,2, Zhiguo Jiang1,2, and Yan Cheng3 1Image Processing Center, School of Astronautics, Beihang University, Beijing, 100191, China
2Beijing Key Laboratory of Digital Media, Beijing, 100191, China
393707 PLA Troops, Zhangjiakou, Hebei, 075000, China
Keywords: Change detection, Saliency detection, Local entropy, Wavelet transformation Abstract. How to obtain accurate difference map remains an open challenge in change detection. To tackle this problem, we propose a change detection method based on saliency detection and wavelet transformation. We do frequency-tuned saliency detection in initial difference image (IDI) obtained by logarithm ratio to get a salient difference image (SDI). Then, we calculate local entropy of SDI to obtain an entropic salient difference image (ESDI). The final difference image (FDI) is the wavelet fusion of IDI and ESDI, and Otsu thresholding is used to extract difference map from FDI. Experimental results validate the effectiveness and feasibility.
Conference paper (PDF, 2207 KB)


Citation: Zhang, H., Jiang, Z., and Cheng, Y.: LAND COVER CHANGE DETECTION USING SALIENCY ANDWAVELET TRANSFORMATION, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B7, 601-605, https://doi.org/10.5194/isprs-archives-XLI-B7-601-2016, 2016.

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