SRUN: Spectral Regularized Unsupervised Networks for Hyperspectral Target Detection.

IEEE Transactions on Geoscience and Remote Sensing(2020)

引用 34|浏览62
暂无评分
摘要
The high dimensionality of a hyperspectral image (HSI) provides the possibility of deeply capturing the underlying and intrinsic characteristics in spectra, such that targets embedded in the background can be detected. However, redundant information, deteriorated bands, and other interferences from background challenge the target detection problem. In this article, an effective feature extraction ...
更多
查看译文
关键词
Feature extraction,Object detection,Hyperspectral imaging,Anomaly detection,Decoding,Aircraft
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要