Remote sensing image fusion for different spectral and spatial resolutions with bilinear resampling wavelet transform

被引：0
|
作者：
Zhou, QX [1 ]
Jing, ZL [1 ]
Jiang, SZ [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Sch Elect & Informat Technol, Inst Aerosp Informat & Control, Shanghai 200030, Peoples R China
来源：
2003 IEEE INTELLIGENT TRANSPORTATION SYSTEMS PROCEEDINGS, VOLS. 1 & 2 | 2003年
关键词：
remote sensing image; wavelet transform; fusion algorithm; bilinear resampling;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
It is an important way, that some remote. sensing images of different spatial and spectral resolutions are fused to satisfy the requirement of general application. In order to achieve a good fusion result, low spatial spectral images should he resampled. At present,. nearest neighbor resampling is often adopted which has some effects on the precision of new image. In this paper, an image fusion method is proposed with bilinear resampling wavelet (BRW) transform,and compared with nearest neighbor resampling wavelet transform, IHS transform and. Brovery transform. On the platform of ENVI/IDL simulations show that the BRW. method is of good performance of preserving the spectral and spatial resolutions for remote sensing images, with lowest the lost of spectral information.
引用
收藏
页码：1206 / 1213
页数：8
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