Constrained-Target Band Selection With Subspace Partition for Hyperspectral Target Detection
Hyperspectral target detection is widely used in both military and civilian fields. In practical applications, how to select a low-correlation and representative band subset to reduce redundancy is worth discussing. However, most of the existing band selection (BS) methods usually select bands accor...
Main Authors: | Xudong Sun, Hongqi Zhang, Fengqiang Xu, Yuan Zhu, Xianping Fu |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9528953/ |
Similar Items
-
Multiple Band Prioritization Criteria-Based Band Selection for Hyperspectral Imagery
by: Xudong Sun, et al.
Published: (2022-11-01) -
Underwater Hyperspectral Target Detection with Band Selection
by: Xianping Fu, et al.
Published: (2020-03-01) -
Improved SR-SSIM Band Selection Method Based on Band Subspace Partition
by: Tingrui Hu, et al.
Published: (2023-07-01) -
Hyperspectral Band Selection Method Based on Global Partition Clustering
by: Tingrui Hu, et al.
Published: (2025-01-01) -
Sample Latent Feature-Associated Low-Rank Subspace Clustering for Hyperspectral Band Selection
by: Yujie Guo, et al.
Published: (2024-01-01)