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To develop an automated satellite image understanding system, the properties of satellite images should be known in advance. Therefore, this chapter introduces various remote sensing satellites and airborne systems. In almost all cases, the sensors on these satellites and airborne systems are called by the same name as the satellite or the airborne program. We follow the same convention. The remote...
Most remote sensing satellite sensors offer multispectral images besides panchromatic images. This multispectral information is extremely valuable to detect various objects in the image. In this book, we summarize the multispectral information via vegetation and shadow–water indices. In the following chapters, we benefit from these indices in land use classification and house and street network detection...
The next set of indices we introduce within the same statistical framework used in the previous chapter are the shadow–water indices (SWI). We benefit from these indices to detect lakes in residential regions in the following chapters. Therefore, they also provide valuable information in analyzing multispectral images. In the Ikonos spectrum, water shows an increasing response curve until the blue...
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