期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B4
页码：379-384
出版社：Copernicus Publications
摘要：Cloud is always problem of optical remote sensing data. ALOS-AVNIR2 images also will be affected. Microwave images are not affected by cloud. ALOS satellite has both optical and microwave sensor, similar resolution (~10m). Therefore, main purpose of this study is to develop a method for removing cloud in ALOS-AVNIR2 images based on ALOS-PALSAR data. This method is developed based on interpolating under cloud pixel values for ALOS-AVNIR2 images. To remove cloud, it needs to be defined. A combination method of Total Reflectance Radiance Index (TRRI) and Cloud-Soil Index (CSI) is used to define cloud. Around cloud pixels are mixture of cloud and other objects. So, that is very difficult to define. Therefore, the around cloud pixels are extended from cloud. Cloud shadow problem also is discussed in this study. Condition to apply this method is that objects in optical image and radar image change not very much. This method is experimented on simulated ALOS data from Landsat TM and JERS1-SAR images. Interpolated image is a free cloud and shadow image. Visual logic of objects is good. Original image and interpolated image is almost similar together. This method also can be applied for combination of two optical images to remove cloud if change of objects covered by cloud is not so much. Result of this study is a program with many functions like: define cloud, extend cloud, get shadow, remove cloud and so on. This is free software for every user
关键词：Remote Sensing; Identification; Point Cloud; Radar; Software; Orthoimage; Simulation; Integration
