Hyperspectral Image Fusion Algorithm Based on Two-Stage Spectral Unmixing Method |
Choi, Jae-Wan
(School of Civil, Urban & Geosystem Engineering, Seoul National University)
Kim, Dae-Sung (School of Civil, Urban & Geosystem Engineering, Seoul National University) Lee, Byoung-Kil (Civil Engineering, Hankong National University) Yu, Ki-Yun (School of Civil, Urban & Geosystem Engineering, Seoul National University) Kim, Yong-Il (School of Civil, Urban & Geosystem Engineering, Seoul National University) |
1 | Ali Darvishi, 2005. Hyper-spectral/High-Resolution Data fusion: Assessing the Quality of EO1-Hyperion/Spot-Pan & Quickbird-MS fused images in Spectral Domain, ISPRS Hannover Workshop |
2 | Antonio Plaza, Pablo Martinez, Rosa Perez, and Javier Plaza, 2004. A Quantitative and Comparative Analysis of Endmember Extraction Algorithms From Hyperspectral Data, IEEE Transaction on Geoscience and Remote Sensing, 42(3): 650-663 DOI ScienceOn |
3 | Yun Zhang, 2004. Understanding Image Fusion, PE & RS, June: 657-661 |
4 | Soo Chin Liew, Chew Wai Chang, and Leong Keong Kwoh, 2003. Image Fusion of Hyperion and IKONOS imagery, Image Processing and Pattern Recognition in Remote Sensing, Proceedings of SPIE, 4898: 31-35 |
5 | Zhou Wang and Alan C. Bovik, 2002. A Universal Image Quality Index, IEEE Signal Processing Letters, XX(Y), March: 1-4 |
6 | Gary D. Robinson, Harry N. Gross, and John R. Schott, 2000. Evaluation of Two Applications of Spectral Mixing Models to Image Fusion, Remote Sensing of Environment, 71: 272-281 DOI ScienceOn |
7 | Harvey E. Rhody, 2002. Enhancing Spatial Resolution for Exploitation in Hyperspectral Imagery, IEEE Proceedings of 31st Applied Imagery Pattern Recognition Workshop (AIPR 02) |
8 | Russell C. Hardie and Michael T. Eismann, 2004. MAP Estimation for Hyperspectral Image Resolution Enhancement Using an Auxiliary Sensor, IEEE Transactions on Geoscience and Remote Sensing, 13(9): 1174-1184 |
9 | Daniel C. Heinz and Chein-I, 2001. Fully Constrained Least Squares Linear Spectral Mixture Analysis Mehtod for Material Quantification in Hyperspectral Imagery, IEEE Transactions on Geoscience and Remote Sensing, 39(3): 529-545 DOI ScienceOn |
10 | Rasmus Bro and Sijmen De Jong, 1997. A fast non - negativity-constrained least squares algorithm, Journal of Chemometrics, 11: 393-401 DOI ScienceOn |
11 | Chein-I Chang and Daniel C. Heinz, 2000. Constrained Subpixel Target Detection for Remotely Sensed Imagery, IEEE Transactions on Geoscience and Remote Sensing, 38(3): 1144-1159 DOI ScienceOn |
12 | Michael T. Eismann and Russell C. Hardie, 2005. Hyperspectral Resolution Enhancement Using High-Resolution Multispectral Imagery With Arbitrary Response Functions, IEEE Transactions on Geoscience and Remote Sensing, 43(3): 455-465 DOI ScienceOn |
13 | Roger L. Schultz and Martin T. Hagan, 1999. On-line Least-Squares Training For The Underdetermined Case, International Joint Conference on Neural Networks, July, Washington, Paper No. 515 |
14 | Zhizun Wang, Djemel Ziou, Costas Armenakis, Deren Li, and Qingquan Li, 2005. A Comparative Analysis of Image Fusion Methods, IEEE Transactions on Geoscience and Remote Sensing, 43(6): 1391-1402 DOI ScienceOn |