Review on different methods of image fusion of multispectral and panchromatic image

Priya M. Hemane, P. Shingare, Duhita S. Dandekar
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引用次数: 1

Abstract

There are various sensors invented to capture the images of earth surface which are used to analyze the earth surface. The images captured by different sensors have different features. To analyze the earth surface images captured at different spectrums are used. In urban area characteristic of urban object are determined by not only their spectra but also by their structure. Various sensors captures the image at various spectrums knows as multispectral image but is with low spatial resolution. Some sensors captures the high resolution image also known as panchromatic image. Therefore it becomes very necessary and useful to fuse panchromatic and multispectral image to detect different area from the image easily. The fused image is multispectral image with high spatial resolution. The various methods of image fusion studied in this paper. Comparison of them is done is done statistically and visually and it is found that fused image is of greater quality and clarity than the original one and shows the features of that area more accurately.
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多光谱与全色图像融合方法综述
人们发明了各种各样的传感器来捕捉地球表面的图像,用于分析地球表面。不同传感器捕获的图像具有不同的特征。为了分析在不同光谱下捕获的地球表面图像。在城市地区,城市物体的特征不仅取决于它们的光谱,还取决于它们的结构。不同的传感器捕获不同光谱的图像,称为多光谱图像,但空间分辨率较低。一些传感器捕获高分辨率图像,也称为全色图像。因此,对全色图像和多光谱图像进行融合,方便地检测图像中的不同区域,就显得十分必要和有用。融合后的图像是高空间分辨率的多光谱图像。本文研究了图像融合的各种方法。通过统计和视觉对比,发现融合后的图像比原始图像质量和清晰度更高,更准确地显示了该区域的特征。
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