卫星图像泛锐化的模糊加权最小二乘滤波

Multimedia Research Pub Date : 2019-01-04 DOI:10.46253/j.mr.v2i1.a3

Jegatheeswari

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引用次数: 9

摘要

许多遥感应用需要高空间分辨率和高光谱分辨率的图像。但由于卫星传感器的技术限制，空间和光谱细节不会在单一图像中呈现。泛锐化将低空间分辨率的多光谱图像与高空间分辨率的全色图像相结合，以创建具有空间和光谱分辨率的融合彩色图像。遥感中的许多应用都需要具有高空间和光谱分辨率的图像

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Fuzzy Weighted Least Square Filter for Pansharpening in Satellite Images

: Many remote sensing applications require images with both high spatial and spectral resolution. But due to the technological limitations of satellite sensors, the spatial and spectral details will not present in a single image. Pan-sharpening combines a low spatial resolution multispectral image with a high spatial resolution panchromatic image to create a fused color image with both spatial and spectral resolution. There are a number of applications in remote sensing that require images with both high spatial and spectral resolutions

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Multimedia Research

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