Target detection of hyperspectral image based on spectral saliency

Author:

Zhang Xiaorong123,Pan Zhibin1,Hu Bingliang3,Zheng Xi4,Liu Weihua3

Affiliation:

1. School of Electronic & Information Engineering, Xi'an Jiaotong UniversityXi'an710049People's Republic of China

2. University of Chinese Academy of SciencesBeijing100039People's Republic of China

3. Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of ScienceXi'an710119People's Republic of China

4. Institute of Earth Environment, Chinese Academy of SciencesXi'an710061People's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference39 articles.

1. Effective feature extraction and data reduction in remote sensing using hyperspectral imaging [applications corner];Ren J.;IEEE Signal Process. Mag.,2014

2. Singular spectrum analysis for effective feature extraction in hyperspectral imaging;Zabalza J.;IEEE Geosci. Remote Sens. Lett.,2014

3. A hybrid sparsity and distance‐based discrimination detector for hyperspectral images;Lu X.;IEEE Trans. Geosci. Remote Sens.,2017

4. 2016 Proc. IEEE Int. Geoscience and Remote Sensing Symp. Beijing China A. Zhao A. Ma A. Wang Hierarchical reinforcement learning for saliency detection of low‐resolution airports

5. Perception‐oriented video saliency detection via spatio‐temporal attention analysis;Zhong S.‐H.;Neurocomputing,2016

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