基于多特征融合的遥感图像河流目标检测算法.pdf

第33卷第11期 东 北 大 学 学 报 (自 然 科 学 版 ) Vol.33, No.11 2012 年 11月 Journal of Northeastern University (Natural Science) Nov.2 0 1 2 于晓升, 吴成东, 陈东岳, 田子恒 ( , 　110819) 　　　:, 、 · , , , ;, · , , · 　　:;;; :TP 391　　　: 　　　:1005-3026(2012)11-1547-04 River Detection in Remote Sensing Image Based on Multi- feature Fusion YU X iao-sheng , WU Cheng -dong, CHEN Dong -yue, TIAN Z i-heng (School of Information Science Engineering, Northeastern University, Shenyang 110819, China.Corresponding author:YU Xiao-sheng, E-mail:yuxiaosheng7 @) Abstract:Due to the difficulties to exactly detect the similar rivers, a novel river detection algorithm was proposed based on multi-feature fusion of the remote sensing image.Firstly, the localentropy features, the texture features and corner information features of the simple images were extracted as the feature vectors of the support vector machine (SVM)in order to obtain the decision function.Then the decision function was employed to perform the coarse detection of rivers in tested images.Finally, in order to obtain the complete rivers, the geodesic active contour model was used, which was combined with the results of the coarse detection of rivers. Experimental results demonstrated the proposed algorithm has good performance in the location and connection of rivers, and the rivers can be detected accurately without the background interference. Key words:multi-feature fusion;river detection;support vector machine;geodesic active contour , 、, , · ·