RESOLUTION ENHANCEMENT FOR HYPERSPECTRAL IMAGES: A SUPER-RESOLUTION AND FUSION APPROACH

被引：0

作者：

Kwan, Chiman ^{[1
]}

Choi, Joon Hee ^{[2
]}

Chan, Stanley ^{[2
]}

Zhou, Jin ^{[3
]}

Budavari, Bence ^{[1
]}

机构：

[1] Signal Proc Inc, Rockville, MD 20850 USA

[2] Purdue Univ, W Lafayette, IN 47907 USA

[3] Google Inc, Mountain View, CA 80305 USA

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2017年

关键词：

Hyperspectral Imaging; Remote Sensing; Hybrid Color Mapping; Plug-and-Play ADMM; Super-resolution; MULTISPECTRAL DATA; MS;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

Many remote sensing applications require a high-resolution hyper-spectral image. However, resolutions of most hyperspectral imagers are limited to tens of meters. Existing resolution enhancement techniques either acquire additional multispectral band images or use a pan band image. The former poses hardware challenges, whereas the latter has limited performance. In this paper, we present a new resolution enhancement method that only requires a color image. Our approach integrates two newly developed techniques in the area: (1) A hybrid color mapping algorithm, and (2) A Plug-and-Play algorithm for single image super-resolution. Comprehensive experiments using real hyperspectral images are conducted to validate and evaluate the proposed method.

引用

页码：6180 / 6184

页数：5

共 28 条

[1] MTF-tailored multiscale fusion of high-resolution MS and pan imagery [J].