Spatial resolution improvement of a low spatial resolution image using spatial component extracted from high spatial resolution images

机译：使用从高空间分辨率图像中提取的空间分量改善低空间分辨率图像的空间分辨率

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This method consists of two parts: extraction of the high spatial resolution from high spatial resolution visible and near-infrared images, reconstruction of the high resolution image from a low resolution image using extracted high resolution spatial information. Category decomposition for the high spatial resolution images extracts only high spatial resolution information from high spatial visible and near-infrared images and the reconstruction of high spatial resolution image is reconstructed by category composition processing. Where category composition and category decomposition are an inverse operation to each other. Examples of the spatial resolution improvement of low spatial thermal image and MOS-1 MSR image are demonstrated.

机译：该方法包括两部分：从高分辨率的可见光和近红外图像中提取高分辨率的图像，使用提取的高分辨率空间信息从低分辨率的图像中重建高分辨率的图像。高空间分辨率图像的类别分解仅从高空间可见光和近红外图像中提取高空间分辨率信息，并且通过类别合成处理来重建高空间分辨率图像的重建。其中类别组成和类别分解是彼此相反的操作。说明了低空间热图像和MOS-1 MSR图像的空间分辨率提高的示例。

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《Geoscience and Remote Sensing Symposium, 1993. IGARSS '93. Better Understanding of Earth Environment., International》|1993年|P.2105-2107|共3页
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Inamura; M.;
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中图分类无线电电子学、电信技术;
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Spatial resolution improvement of a low spatial resolution image using spatial component extracted from high spatial resolution images

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