Improved seeded region growing for detection of water bodies in aerial images  

作　　者：Jun Pan Mi Wang 

机构地区：[1]State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,129 Luoyu Road,Wuhan 430079,China [2]Collaborative Innovation Center for Geospatial Technology,Wuhan University,129 Luoyu Road,Wuhan 430079,China

出　　处：《Geo-Spatial Information Science》2016年第1期1-8,共8页地球空间信息科学学报（英文）

基　　金：This work was supported by the National Basic Research Program of China(973 Program)[grant number 2012CB719901];the National Natural Science Foundation of China(grant number 91438112);the Foundation for the Author of National Excellent Doctoral Dissertation of China(FANEDD)[grant number 201249].

摘　　要：In aerial images,near-specular and specular reflection often appear in water bodies.They often lead to irregular brightness or color changes in water bodies and even produce hot spots,harmful to radiometric normalization.Therefore,water bodies must be eliminated when calculating radiometric differences during radiometric normalization of aerial images.In this paper,a simple method to detect water bodies in aerial images based on texture features is presented,an improved seeded region growing(SRG)method.A texture feature is calculated using the relative standard deviation index(RSDI)and a coarse-to-fine procedure is employed.The proposed method includes a multiple partition strategy and a refinement in gradient image that improves the reliability and accuracy of water body detection.By fusing water bodies detected in multiple images,hot spots in these water bodies are also detected.Experiments validate the feasibility and effectiveness of the proposed method.

关 键 词：aerial images WATER specular reflection hot spots radiometric normalization 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]