Title :
A change detection algorithm based on object feature for SAR image
Author :
Zhang, Xiaohua ; Li, Hongfeng ; Jiao, Licheng
Author_Institution :
Key Lab. of Intell. Perception & Image Understanding of Minist. of Educ., Xidian Univ., Xi´´an, China
Abstract :
In the detection of change objects of SAR images, regard to the images containing high intensity noise, traditional methods will produce a considerable false alarm. This paper presents a new method of change detection based on directional information. Direction measure is proposed to suppress noises and brighten object contours. Then region blocks which contain changing objects are extracted according to the difference map of direction measure. Finally, changed objects can be obtained using the OTSU threshold method for each region block. The experimental results on SAR images demonstrate the efficiency and accuracy of the proposed method.
Keywords :
feature extraction; image denoising; object detection; radar imaging; synthetic aperture radar; OTSU threshold method; SAR image; change detection algorithm; directional information; noise suppression; object contours; object extraction; object feature; synthetic aperture radar; Area measurement; Current measurement; Data mining; Detection algorithms; Image analysis; Image edge detection; Noise measurement; Object detection; Position measurement; Remote monitoring; Change detection; direction measure; multi-threshold and object; region blocks;
Conference_Titel :
Synthetic Aperture Radar, 2009. APSAR 2009. 2nd Asian-Pacific Conference on
Conference_Location :
Xian, Shanxi
Print_ISBN :
978-1-4244-2731-4
Electronic_ISBN :
978-1-4244-2732-1
DOI :
10.1109/APSAR.2009.5374109
