Enhancing Mastcam Images for Mars Rover Mission

被引：24

作者：

Minh Dao ^{[1
]}

Kwan, Chiman ^{[1
]}

Ayhan, Bulent ^{[1
]}

Bell, James F. ^{[2
]}

机构：

[1] Appl Res LLC, Rockville, MD 20850 USA

[2] Arizona State Univ, Tempe, AZ USA

来源：

ADVANCES IN NEURAL NETWORKS, PT II | 2017年 / 10262卷

关键词：

Mastcam; Curiosity rover; Pansharpening; Image fusion;

D O I：

10.1007/978-3-319-59081-3_24

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper summarizes some new results in improving the left Mastcam images of the Mars Science Laboratory (MSL) onboard the Mars rover Curiosity. There are two multispectral Mastcam imagers, having 9 bands in each. The left imager has wide field of view, but low resolution whereas the right imager is just the opposite. Our goal is to investigate the possibility of fusing the left and right images to form high spatial resolution and high spectral resolution data cube so that stereo images and data clustering performance can be improved. Many pansharpening algorithms have been investigated. Actual Mastcam images were used in our experiments. Preliminary results indicate that the pansharpened images can indeed enhance the data clustering performance using both objective and subjective evaluations.

引用

页码：197 / 206

页数：10

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