Processing of HJ-1A hyperspectral data

He Huang; Haixia He; Yan Cui; Lei Wang; Ping Wang; Tong Tang; Siquan Yang

doi:10.1117/12.901897

23 November 2011 Processing of HJ-1A hyperspectral data

He Huang, Haixia He, Yan Cui, Lei Wang, Ping Wang, Tong Tang, Siquan Yang

Proceedings Volume 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 80060U (2011) https://doi.org/10.1117/12.901897
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

In the paper, the parameters of hyperspectral data of the environment disaster reduction satellites have been introduced, firstly. Then the pro-processing methods for hyperspectral data have been elaborated according to the characteristics of the hyperspectral sensor of the environment disaster reduction satellites. After analysis the problems existing in the pre-processing of hyperspectral data, the hyperspectral data have been employed to classify the land features. The experimental evaluation shows that the performance of classifying the hyperspectral data of environment disaster reduction satellites is excellent.

Citation Download Citation

He Huang, Haixia He, Yan Cui, Lei Wang, Ping Wang, Tong Tang, and Siquan Yang "Processing of HJ-1A hyperspectral data", Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 80060U (23 November 2011); https://doi.org/10.1117/12.901897

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