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Journal of Sensors
Volume 2016, Article ID 7165326, 7 pages
http://dx.doi.org/10.1155/2016/7165326
Research Article

Improved Vegetation Profiles with GOCI Imagery Using Optimized BRDF Composite

1Electronics and Telecommunications Research Institute (ETRI), 218 Gajeongno, Yuseong-gu, Daejeon 305-700, Republic of Korea
2Department of Geoinformatic Engineering, Pukyong National University, Daeyeon-3 Nam-Gu, Busan 608-737, Republic of Korea
3Korea Aerospace Research Institute (KARI), 169-84 Gwahak-ro, Yuseong-gu, Daejeon 305-806, Republic of Korea

Received 27 November 2015; Revised 30 December 2015; Accepted 31 January 2016

Academic Editor: Chiman Kwan

Copyright © 2016 Sang-il Kim et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Sang-il Kim, Do-Seob Ahn, Kyung-Soo Han, and Jong-Min Yeom, “Improved Vegetation Profiles with GOCI Imagery Using Optimized BRDF Composite,” Journal of Sensors, vol. 2016, Article ID 7165326, 7 pages, 2016. https://doi.org/10.1155/2016/7165326.