@inproceedings{3267879eb5584ada918ccf3c2121f663,
title = "Enhancing mastcam images for mars rover mission",
abstract = "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.",
keywords = "Curiosity rover, Image fusion, Mastcam, Pansharpening",
author = "Minh Dao and Chiman Kwan and Bulent Ayhan and James Bell",
note = "Funding Information: This research was supported by NASA under contract NNX16CP38P. Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 14th International Symposium on Neural Networks, ISNN 2017 ; Conference date: 21-06-2017 Through 26-06-2017",
year = "2017",
doi = "10.1007/978-3-319-59081-3_24",
language = "English (US)",
isbn = "9783319590806",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "197--206",
editor = "Fengyu Cong and Qinglai Wei and Andrew Leung",
booktitle = "Advances in Neural Networks - ISNN 2017 - 14th International Symposium, ISNN 2017, Proceedings",
}