The arithmetic designed in this paper uses few memories in the compression of multi - spectral image . in applications , we do not have to place memorizers on the compress card , but only 24 blockrams are needed in the fpga ( field programmable gate array ) , so we can reduce the weight 、 volume and energy consumption of the space equipment . at last , software and hardware are designed to implement the arithmetic 本课题提出的算法只使用少量的存储器就可以实现对多光谱图像数据的压缩,在实际应用当中,只需占用24片fpga ( fieldprogrammablegatearray )内部的blockram ,而不需引入片外存储器,可以减少机载设备的质量、体积和能耗。
Thirdly , in the multi - spectral , there are some facts that different objects have the same spectrum and the same objects have different spectrum but they are in the region having different landform so that we can deduce the effect of the fact by segmenting the image according to the texture feature that reflect the landform into blocks in advance and then classifying each pixel according to its corresponding block spectrum information 第三,实际多光谱图像中存在着不少同物异谱和同谱异物现象,而它们往往处于不同的地形地貌之中,因此事先依据反映宏观地形地貌的纹理特征将图像分块,再有针对性地进行地物光谱分类是能够降低它对分类精度的影响。
