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多/高光谱遥感图像的投影和小波融合算法
引用本文:丰明博,刘学,赵冬.多/高光谱遥感图像的投影和小波融合算法[J].测绘学报,2014,43(2):158-163.
作者姓名:丰明博  刘学  赵冬
作者单位:中国科学院遥感科学国家重点实验室;中国科学院大学;
基金项目:国家自然科学基金(41001214);国家科技支撑计划(2012BAH31B00)
摘    要:将高光谱图像与高空间分辨率图像融合后,由于融合图像空间分辨率提高,改变了混合像元内地物组分比例,像元光谱信息较原高光谱图像光谱信息会出现“失真”现象。针对这种情况,考虑混合像元内成分变化进行图像融合,首先利用投影方法模拟多光谱图像得到高光谱图像,并将模拟高光谱图像与原高光谱图像利用小波方法进行融合,融合图像不仅增强了空间信息,而且对光谱信息进行一定的修正,从而提高了环境异常探测等一系列应用的精度。利用Hyperion图像和SPOT-5图像进行融合实验,融合图像能够识别出87.2%目标区域。

关 键 词:多/高光谱遥感图像  图像融合  光谱投影  光谱相似度  小波变换  相对区域活跃度  
收稿时间:2012-05-11
修稿时间:2013-01-11

AN IMAGE FUSION METHOD BASED ON SPECTRUM PROJECTION AND WAVELET TRANSFORMING WITH HYPERSPECTRAL AND MULTISPECTRAL IMAGES
Abstract:When the hyperspectral and multispectral images are fused, the spectral information of the fused image changed a lot because the spatial resolution is improved and the situation of the mixed pixels is weakened. The pixels change should be considered to solve this shortage. In view of this situation, the multispectral image is used to simulate a hyperspectral image using the method of projection and the wavelet transformation (WT) is used to fuse the simulated and original hyperspectral images. The fused image can not only enhance the spatial information, but also correct the spectral information, and thus can increase the application accuracies such as the environmental abnormal detection. The Hyperion image and the SPOT-5 image are chosen to do the experiment of fusion, 87.2 percent of the target areas can be distinguished when making use of the fused image.
Keywords:
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