摘要
裁剪20090716和20090730两景HJ-1 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。
Parts of 20090716 and 20090730 HJ experimental areas. The thick cloud, thin cloud and -1 CCD multi-spectral images were cut as the 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.
出处
《农业机械学报》
EI
CAS
CSCD
北大核心
2013年第6期210-214,共5页
Transactions of the Chinese Society for Agricultural Machinery
基金
国家自然科学基金资助项目(30871965)
福建省科技计划重点资助项目(2011N0031)
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
Remote sensing image Multi-spectral data Cloud detection Cloud removal Object-oriented and substitution method
