水文地质工程地质2017，Vol.44Issue(3)：143-150,8.DOI:10.16030/j.cnki.issn.1000-3665.2017.03.21
基于国产高分辨率光学遥感影像的水体提取
A surface water body extraction method based on domestic remote sensing imagery of high resolution
摘要
Abstract
Due to the high spectral similarity existing in water and shadow,extraction of remote sensing imagery is easily confused and misclassified.To address this problem,we propose a method combined with the object-oriented image segmentation and the artificial bee colony algorithm (ABC) to extract surface water body from remote sensing imagery.Firstly,a series of statistic factors,such as spectrum,ratio and sharp features,are calculated during image segmentation.We used these factors to make up the defect of insufficient information existing in high-resolution imagery.Then,with the strength of solving complicate problem by ABC algorithms,we chose the geometric mean of accuracies between surface water bodies and shadows as the fitness function of classifier to generate the optimal extraction rules.The experiments are carried out in the Dadeng island of Xiamen in Fujian and part of the city of Zixing in Hunan,which are based on the domestic GF-1 and GF-2 remote sensing imageries.The results are compared with the SVM classifier and show that the proposed method can achieve better overall accuracy and Kappa coefficient,indicating that the proposed method is suitable for extraction of surface water bodies from remote sensing imagery of high spatial resolution.关键词
人工蜂群/地表水体提取/高分/面向对象/遥感图像分类Key words
artificial bee colony/water extraction/GF/object-oriented/remote sensing classification分类
天文与地球科学引用本文复制引用
邓富亮,章欣欣,花利忠,李宗梅..基于国产高分辨率光学遥感影像的水体提取[J].水文地质工程地质,2017,44(3):143-150,8.基金项目
国家自然科学基金资助项目(41401475、41471366、41501448) （41401475、41471366、41501448）
福建省测绘地理信息局(2015JX04)资助 （2015JX04）
