Real-Time Anomaly Detection Based on a Fast Recursive Kernel RX Algorithm
Author:
Publisher
MDPI AG
Subject
General Earth and Planetary Sciences
Link
http://www.mdpi.com/2072-4292/8/12/1011/pdf
Reference32 articles.
1. Salient Band Selection for Hyperspectral Image Classification via Manifold Ranking
2. Hyperspectral Imaging: Techniques for Spectral Detection and Classification;Chang,2003
3. Hyperspectral Data Processing: Algorithm Design and Analysis;Chang,2013
4. Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution
5. Kernel RX-algorithm: a nonlinear anomaly detector for hyperspectral imagery
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1. Randomized Low-Rank Nonlinear RX Detector;Science, Engineering Management and Information Technology;2023
2. Hyperspectral image classification on insufficient-sample and feature learning using deep neural networks: A review;International Journal of Applied Earth Observation and Geoinformation;2021-12
3. Segment-Based Clustering of Hyperspectral Images Using Tree-Based Data Partitioning Structures;Algorithms;2020-12-10
4. Real-time kernel collaborative representation-based anomaly detection for hyperspectral imagery;Infrared Physics & Technology;2020-06
5. Hyperspectral Anomaly Detection Method Based on Adaptive Background Extraction;IEEE Access;2020
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