Electronics Optics & Control, Volume. 20, Issue 12, 51(2013)
ObjectLevel Change Detection Based on Image Fusion and MultiScale Segmentation
The traditional pixellevel change detection algorithms have the disadvantage of high requirements for radiometric correction accuracy and threshold selectionwhich may limit their applications.An analysis was made to the multiscale segmentation methodand an objectlevel algorithm was proposed based on it.The fused image of the remote sensing images at different time phases was segmented by using objectoriented method in coarse and fine scales respectively to capture object areas of different sizes.Discrepancy image was obtained after analyzing of characteristics vectorsand the intensity of the changed information was defined.Thenthe decisionlevel fusion was implemented using the measurement results of the coarse and fine scales based on multivalued logic theory.Experiments indicate thatcompared with traditional pixellevel change detection algorithmsthe algorithm is less influenced by radiometric discrepancyhas higher detection accuracyand can evaluate the changed intensity accurately.
Get Citation
Copy Citation Text
WU Junzheng, YAN Weidong, NI Weiping, BIAN Hui. ObjectLevel Change Detection Based on Image Fusion and MultiScale Segmentation[J]. Electronics Optics & Control, 2013, 20(12): 51
Category:
Received: Jan. 17, 2013
Accepted: --
Published Online: Dec. 17, 2013
The Author Email: