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基于面向对象与替换法的遥感影像云检测与去除技术
引用本文:许章华,龚从宏,刘健,余坤勇,赖日文,李增禄.基于面向对象与替换法的遥感影像云检测与去除技术[J].农业机械学报,2013,44(6):210-214.
作者姓名:许章华  龚从宏  刘健  余坤勇  赖日文  李增禄
作者单位:1. 福建农林大学林学院,福州,350002
2. 福建农林大学林学院,福州350002;三明学院,三明365000
3. 三明学院,三明,365000
基金项目:国家自然科学基金资助项目(30871965)和福建省科技计划重点资助项目(2011N0031)
摘    要:裁剪20090716和20090730两景HJ-l CCD多光谱影像的部分作为试验区,基于面向对象法实现了厚云、薄云及云影的检测,进而利用替换法去除云和云影.对原影像、去云后影像的像元灰度均值、最大值、标准差、熵等指标进行了比较,结果表明,还原后的影像符合地面实际,面向对象与替换法可作为HJ-1 CCD多光谱数据的云检测与去除的重要方法.

关 键 词:遥感图像  多光谱数据  云检测  云去除  面向对象与替换法

Cloud Detection and Removal Technology in Remote Sensing Image Based on Object-oriented and Substitution Method
Xu Zhanghu,Gong Conghong,Liu Jian,Yu Kunyong,Lai Riwen and Li Zenglu.Cloud Detection and Removal Technology in Remote Sensing Image Based on Object-oriented and Substitution Method[J].Transactions of the Chinese Society of Agricultural Machinery,2013,44(6):210-214.
Authors:Xu Zhanghu  Gong Conghong  Liu Jian  Yu Kunyong  Lai Riwen and Li Zenglu
Institution:Fujian Agriculture and Forestry University;Fujian Agriculture and Forestry University;Fujian Agriculture and Forestry University;Sanming University;Fujian Agriculture and Forestry University;Fujian Agriculture and Forestry University;Sanming University
Abstract:Parts of 20090716 and 20090730 HJ-1 CCD multi-spectral images were cut as the experimental areas. The thick cloud, thin cloud and cloud shadow were detected based on object-oriented method. And then, the substitution method was used to remove the cloud and cloud shadow. The comparison of pixel gray mean, maximum, standard deviation and entropy of original image and restored image indicated that the restored image accorded with the ground truth. The object-oriented and substitution could be an important method in the cloud detection and removal of HJ-1 CCD multi-spectral image.
Keywords:Remote sensing image  Multi-spectral data  Cloud detection  Cloud removal  Object-oriented and substitution method
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