ABLAL: Adaptive Background Latent Space Adversarial Learning Algorithm for Hyperspectral Target Detection

ABLAL: Adaptive Background Latent Space Adversarial Learning Algorithm for Hyperspectral Target Detection

Hyperspectral images (HSIs) are challenging for hyperspectral object detection (HTD) due to their complex background information and the limited prior knowledge of the target. This article proposes an adaptive background latent space adversarial learning algorithm for hyperspectral target detection...

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Bibliographic Details
Main Authors: Long Sun, Zongfang Ma, Yi Zhang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Adversarial learning
hyperspectral image (HSI)
latent space
target detection
weak supervised learning
Online Access:https://ieeexplore.ieee.org/document/10306252/

Internet

https://ieeexplore.ieee.org/document/10306252/

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