Electronics Optics & Control, Volume. 20, Issue 12, 51(2013)

ObjectLevel Change Detection Based on Image Fusion and MultiScale Segmentation

WU Junzheng... YAN Weidong, NI Weiping and BIAN Hui |Show fewer author(s)
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    The traditional pixellevel change detection algorithms have the disadvantage of high requirements for radiometric correction accuracy and threshold selectionwhich may limit their applications.An analysis was made to the multiscale segmentation methodand an objectlevel algorithm was proposed based on it.The fused image of the remote sensing images at different time phases was segmented by using objectoriented method in coarse and fine scales respectively to capture object areas of different sizes.Discrepancy image was obtained after analyzing of characteristics vectorsand the intensity of the changed information was defined.Thenthe decisionlevel fusion was implemented using the measurement results of the coarse and fine scales based on multivalued logic theory.Experiments indicate thatcompared with traditional pixellevel change detection algorithmsthe algorithm is less influenced by radiometric discrepancyhas higher detection accuracyand can evaluate the changed intensity accurately.

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    WU Junzheng, YAN Weidong, NI Weiping, BIAN Hui. ObjectLevel Change Detection Based on Image Fusion and MultiScale Segmentation[J]. Electronics Optics & Control, 2013, 20(12): 51

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    Paper Information

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    Received: Jan. 17, 2013

    Accepted: --

    Published Online: Dec. 17, 2013

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2013.12.012

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