Progressive Line Processing of Kernel RX Anomaly Detection Algorithm for Hyperspectral Imagery
The Kernel-RX detector (KRXD) has attracted widespread interest in hyperspectral image processing with the utilization of nonlinear information. However, the kernelization of hyperspectral data leads to poor execution efficiency in KRXD. This paper presents an approach to the progressive line proces...
Main Authors: | Chunhui Zhao, Weiwei Deng, Yiming Yan, Xifeng Yao |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-08-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/17/8/1815 |
Similar Items
-
Real-Time Anomaly Detection Based on a Fast Recursive Kernel RX Algorithm
by: Chunhui Zhao, et al.
Published: (2016-12-01) -
Global and Local Real-Time Anomaly Detectors for Hyperspectral Remote Sensing Imagery
by: Chunhui Zhao, et al.
Published: (2015-04-01) -
Recursive Local Summation of RX Detection for Hyperspectral Image Using Sliding Windows
by: Liaoying Zhao, et al.
Published: (2018-01-01) -
A Sliding Window-Based Joint Sparse Representation (SWJSR) Method for Hyperspectral Anomaly Detection
by: Seyyed Reza Soofbaf, et al.
Published: (2018-03-01) -
Anomaly Detection from Hyperspectral Remote Sensing Imagery
by: Qiandong Guo, et al.
Published: (2016-12-01)