Dynamic Negative Sampling Autoencoder for Hyperspectral Anomaly Detection

Hyperspectral anomaly detection (HAD) aims at detecting the anomalies without any prerequisite information, which gains lots of attention in recent years. Most of existing detectors locate the anomalies by eliminating the background. The background is usually reconstructed by utilizing only the glob...

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Bibliographic Details
Main Authors: Jingxuan Wang, Jinqiu Sun, Yong Xia, Yanning Zhang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9942321/