Hyperspectral anomaly detection: a performance comparison of existing techniques

Hyperspectral anomaly detection: a performance comparison of existing techniques

Anomaly detection in Hyperspectral Imagery (HSI) has received considerable attention because of its potential application in several areas. Numerous anomaly detection algorithms for HSI have been proposed in the literature; however, due to the use of different datasets in previous studies, an extens...

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Bibliographic Details
Main Authors: Noman Raza Shah, Abdur Rahman M. Maud, Farrukh Aziz Bhatti, Muhammad Khizer Ali, Khurram Khurshid, Moazam Maqsood, Muhammad Amin
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:International Journal of Digital Earth
Subjects:
anomaly detection algorithms
hyperspectral imagery
deep learning
dimensionality reduction
Online Access:http://dx.doi.org/10.1080/17538947.2022.2146770

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