期刊论文

Wu, Honglin

英文

IEEE ACCESS

2169-3536

2019

7

46562-46574

10.1109/ACCESS.2019.2908968

This work was supported in part by the National Natural Science Foundation of China under Grant 61772454, Grant 61811540410, and Grant 61811530332, in part by the Scientific Research Fund of Hunan Provincial Education Department under Grant 16A008, and in part by the Postgraduate Training Innovation Base Construction Project of Hunan Province under Grant 2017-451-30.

本校为第一且通讯机构

In remote sensing, it is quite necessary to fuse spectral information of low-resolution multispectral (LRMS) images and spatial information of panchromatic (PAN) images for obtaining high-resolution multispectral (HRMS) images. In this paper, an effective fusion method integrating multispectral (MS) image super-resolution and convolutional sparse representation (CSR) fusion is proposed to make full use of the spatial information of remote sensing images. First, for enhancing the spatial information of LRMS images with suitable sizes, a fast iterative image super-resolution algorithm based on t...