Volume XLI-B7
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.
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

21 Jun 2016

LAND COVER CHANGE DETECTION USING SALIENCY ANDWAVELET TRANSFORMATION

Haopeng Zhang1,2, Zhiguo Jiang1,2, and Yan Cheng3 Haopeng Zhang et al.
  • 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.