Hyperspectral Anomaly Detection Based on Machine Learning: An Overview
Hyperspectral anomaly detection (HAD) is an important hyperspectral image application. HAD can find pixels with anomalous spectral signatures compared with their neighbor background without any prior information. While most of the existed researches are related to statistic-based and distance-based...
| Main Authors: | , , , |
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| 格式: | 文件 |
| 语言: | English |
| 出版: |
IEEE
2022-01-01
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| 丛编: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| 主题: | |
| 在线阅读: | https://ieeexplore.ieee.org/document/9760098/ |