Landsat 8 OLI/TIRS卫星图像融合的高通滤波器和小波À Trous变换Matlab实现与评价

Rubén Javier Medina Daza, E. Upegui
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引用次数: 0

摘要

在本文中,高通滤波器- hpf和小波À变换是数学开发的,稍后在Matlab中实现它们。利用所提出的方法对每一个实现的变换进行卫星图像的融合。利用秘鲁西北部甘蔗作物明显的Landsat 8 OLI/TIRS图像(全色- PAN和多光谱- MULTI)生成两幅融合图像,即MULTIHPF和MULTITWA。通过相关指数、ERGAS、RASE和Q指数4个指标对融合后的图像进行空间和光谱质量评价,以确定所提方法的有效性。MULTITWA图像的光谱评价效果最好,相关性大于0.95,Q指数为0.96,RASE值为9.2%,空间上高于0.96。在空间丰富度方面,MULTIHPF效果最好,ERGAS为14.6,RASE为29.3%,Q为0.7。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation and evaluation of the High Pass Filter and Wavelet À Trous transforms in Matlab to fusion Landsat 8 OLI/TIRS Satellite Images
In this article, the High Pass Filter-HPF, and Wavelet À trous transforms are developed mathematically, to later implement them in Matlab. The fusion of satellite images is performed with each one of the implemented transforms, with a proposed methodology. A Landsat 8 OLI/TIRS image (Panchromatic - PAN and multispectral - MULTI) of a northwestern sector of Peru -where sugar cane crops are evident- is used to generate two fused images, namely: MULTIHPF and MULTITWA. The fused images were evaluated both in spatial and spectral quality through four indices, specifically: correlation index, ERGAS, RASE and Q index, in order to determine the efficiency of the proposed methods. Best results of the spectral evaluation were obtained with the MULTITWA image, achieving correlations higher than 0.95, a Q index of 0.96 and a RASE value of 9.2%, while spatially higher values than 0.96. Regarding spatial richness, the best results were obtained with MULTIHPF with an ERGAS of 14.6, a RASE of 29.3% and a Q of 0.7.
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