Multi-sensor mars image fusion based on IHS combined robust PCA
| Autor: | Yun-Xiang Tian, Xiao-Lin Tian, Jiang-Long Wu |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Image fusion
Computer science business.industry 0102 computer and information sciences 02 engineering and technology Mars Exploration Program 01 natural sciences Multi sensor 010201 computation theory & mathematics Robustness (computer science) Principal component analysis 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Artificial intelligence business Image resolution |
| Zdroj: | IGARSS |
| DOI: | 10.1109/igarss.2016.7729670 |
| Popis: | This paper proposes a fusion based on IHS combined robust PCA for remotely sensed Mars image data obtained by the MRO and Odyssey (THEMIS). Experiments show that the proposed algorithm, compares with conventional fusion techniques, can significantly inhibit the blocking artifacts and better extract the spatial details from the source images. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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