Hyperspectral Image Classification Using Metric Learning in One-Dimensional Embedding Framework
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing(2017)
摘要
Hyperspectral image (HSI) classification has become an active research area in the remote sensing field. In order to construct a simple and reliable classifier, learning an adequate distance metric from a given HSI dataset is still a critical and challenging task in many HSI applications. In this paper, a novel distance metric learning (DML) framework based on 1-D manifold embedding (1DME), named ...
更多查看译文
关键词
Kernel,Feature extraction,Hyperspectral imaging,Sorting,Euclidean distance
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