Target detection based on classification in shadow region of hyperspectral image

Xuefeng Liu; Congcong Wang; Min Fu; Salah Bourennane; Qiaoqiao Sun

doi:10.1117/12.2527578

21 June 2019 Target detection based on classification in shadow region of hyperspectral image

Xuefeng Liu, Congcong Wang, Min Fu, Salah Bourennane, Qiaoqiao Sun

Proceedings Volume 11059, Multimodal Sensing: Technologies and Applications; 110590M (2019) https://doi.org/10.1117/12.2527578
Event: SPIE Optical Metrology, 2019, Munich, Germany

Abstract

In the field of hyperspectral image (HSI) processing, shadow regions in HSIs are often ignored or simply treated as a category because of their low reflectivity and complex information. There have been some studies on shadow regions of HSIs but there are still few effective algorithms to detect the real substances under the shadow regions. In view of this problem and the good performance of convolution neural network (CNN) in HSI classification and target detection, this paper improved target detection method in shadow regions in HSI which combines the CNN and the adaptive coherence/cosine estimator (ACE) of the spectral derivative image. This method includes three main steps: firstly, shadow region would been determined by CNN model whose main parameters have been adjusted to optimize the network performance; secondly, the derivative data of hyperspectral image would be obtained by deriving the shadow region of hyperspectral image; finally, due to the prominent performance of ACE algorithm in target detection of HSI, this algorithm could be applied to detect the substances contained in the shadow regions. To assess the performance of the proposed method, one widely used HSI dataset is used in the experiments. The numbers of experiment results show that the proposed method can detect the substances under the shadow regions in HSIs and it also has promising prospect in the field of HSI data processing.

Conference Presentation

Citation Download Citation

Xuefeng Liu, Congcong Wang, Min Fu, Salah Bourennane, and Qiaoqiao Sun "Target detection based on classification in shadow region of hyperspectral image", Proc. SPIE 11059, Multimodal Sensing: Technologies and Applications, 110590M (21 June 2019); https://doi.org/10.1117/12.2527578

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available