A novel anomaly detection method incorporating target information derived from hyperspectral imagery
Author:
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)
Link
http://www.tandfonline.com/doi/pdf/10.1080/2150704X.2015.1101177
Reference21 articles.
1. BACON: blocked adaptive computationally efficient outlier nominators
2. Random-Selection-Based Anomaly Detector for Hyperspectral Imagery
3. A Discriminative Metric Learning Based Anomaly Detection Method
4. Hyperspectral Remote Sensing
5. Probabilistic anomaly detector for remotely sensed hyperspectral data
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1. Time Series Data Mining System Based on Anomaly Detection;The Sixth International Conference on Information Management and Technology;2021-08-19
2. Real-time kernel collaborative representation-based anomaly detection for hyperspectral imagery;Infrared Physics & Technology;2020-06
3. A Novel FPGA-Based Architecture for Fast Automatic Target Detection in Hyperspectral Images;Remote Sensing;2019-01-14
4. Hyperspectral Anomaly Detection via Discriminative Feature Learning with Multiple-Dictionary Sparse Representation;Remote Sensing;2018-05-11
5. Detection of hyperspectral anomalies using density estimation and collaborative representation;Remote Sensing Letters;2017-07-12
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