Performance metrics for the evaluation of hyperspectral chemical identification systems
Author:
Affiliation:
1. MIT Lincoln Laboratory, 244 Wood Street, Lexington, Massachusetts 02420-9185, United States
2. Northeastern University, Department of Electrical and Computer Engineering, 360 Huntington Avenue, Boston, Massachusetts 02115, United States
Publisher
SPIE-Intl Soc Optical Eng
Subject
General Engineering,Atomic and Molecular Physics, and Optics
Reference53 articles.
1. Long-Wave Infrared Hyperspectral Remote Sensing of Chemical Clouds: A focus on signal processing approaches
2. Overview of Physical Models and Statistical Approaches for Weak Gaseous Plume Detection using Passive Infrared Hyperspectral Imagery
3. Detection and quantification of gases in industrial-stack plumes using thermal-infrared hyperspectral imaging;Young,2002
4. Estimation of trace vapor concentration-pathlength in plumes for remote sensing applications from hyperspectral images
5. A detection-identification process with geometric target detection and subpixel spectral visualization
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Local Background Estimation for Improved Gas Plume Identification in Hyperspectral Images;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07
2. Longwave Infrared Hyperspectral Imaging: Principles, Progress, and Challenges;IEEE Geoscience and Remote Sensing Magazine;2019-06
3. Spectral Radiance Modeling and Bayesian Model Averaging for Longwave Infrared Hyperspectral Imagery and Subpixel Target Identification;IEEE Transactions on Geoscience and Remote Sensing;2017-12
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