Bilinear Mixing Model-Based Spectral Decomposition Deep Neural Network for Hyperspectral Target Detection

• Published in: IEEE transactions on geoscience and remote sensing Vol. 63; pp. 1 - 17
• Main Authors: Xu, Yang, Xue, Mingchao, Tian, Qu, Wu, Zebin, Zhan, Tianming, Xia, Xinyuan, Xie, Yu, Wei, Zhihui
• Format: Journal Article
• Language: English
• Published: IEEE 2025
• Subjects: Accuracy; Background learning; bilinear mixing model (BMM); Detectors; Feature extraction; Generative adversarial networks; hyperspectral image (HSI); Hyperspectral imaging; Image reconstruction; Noise; Object detection; Scattering; spectral decomposition; target detection; Training

Hyperspectral image (HSI) target detection is an advanced technology within the remote sensing society, widely applied in both civilian and military domains. However, subpixel target detection poses a significantly challenging problem in HSI processing. Existing methods for HSI target detection most...