Impact of linear dimensionality reduction methods on the performance of anomaly detection algorithms in hyperspectral images
Anomaly Detection (AD) has recently become an important application of hyperspectral images analysis. The goal of these algorithms is to find the objects in the image scene which are anomalous in comparison to their surrounding background. One way to improve the performance and runtime of these algo...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Shahrood University of Technology
2015-01-01
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| Series: | Journal of Artificial Intelligence and Data Mining |
| Subjects: | |
| Online Access: | http://jad.shahroodut.ac.ir/article_440_f25f255b1c591275e0a669ff744c6f73.pdf |