| Remotely sensed hyperspectral image is a 3D stereoscopic image, that is to say, having another dimensional spectrum information again on the foundation of common and two-dimensional picture. So the amount of data of remotely sensed hyperspectral image is huge and it is hard to deliver and saving directly. So compression to the picture is necessary. Because the remotely sensed hyperspectral image information is very precious, the lossless compression or near have lossless compression method is needed possibly. So far, the super spectrum picture hasn't been becoming a set of mature or standard compress technique. Therefore the research of compress coding to the super spectrum remotely sensed hyperspectral image has the important applied value.Aimed at currently the remotely sensed hyperspectral image two-dimensional picture compress an existent problem the thesis put forward a kind of super spectrum picture compress project without the lossless. The project considers the special of the remotely sensed hyperspectral image and the realization of hardware, so the remotely sensed hyperspectral image two-dimensional picture compress will divided into tow step: firstly, adopting integer wavelet transform. There are some advantages of this method such as: simple moves and addition operation, quick speed, occupy a little memory and suitable for removing the remotely sensed hyperspectral image data redundancy than the generally small wave transformation. It is specially suited for the situation which is real-time, high speed code or losses compression and benefits the hardware realization for the future. Secondly, adopting arithmetic coder. Because of the different purpose between the remotely sensed hyperspectral image compression and the common picture, it is not only for the sake of the person's visual system, but also for an special application, at the same time, different ground's thing target or small target usually are always the mainly application, information. So choosing this... |
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