Parallel optimization of pixel purity index algorithm for massive hyperspectral images in cloud computing environment-Reference-Cited by-同舟云学术

Parallel optimization of pixel purity index algorithm for massive hyperspectral images in cloud computing environment

Published:2016-06-20 Issue:2 Volume:10 Page:025024
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:en
Short-container-title:J. Appl. Remote Sens

Author:

Chen Yufeng¹,Wu Zebin²,Sun Le³,Wei Zhihui²,Li Yonglong²

Affiliation:

1. Nanjing University of Science and Technology, School of Computer Science and Engineering, No. 200 Xiaolingwei, Nanjing 210094, ChinabNanjing Branch of China Telecom Corp, No. 8 Lanqijie, Nanjing 210007, China

2. Nanjing University of Science and Technology, School of Computer Science and Engineering, No. 200 Xiaolingwei, Nanjing 210094, China

3. Nanjing University of Information Science and Technology, School of Computer and Software, No. 219, Ningliu Road, Nanjing 210044, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference42 articles.

1. Recent developments in sparse hyperspectral unmixing

2. A Quantitative and Comparative Analysis of Endmember Extraction Algorithms From Hyperspectral Data

3. Detection algorithms for hyperspectral imaging applications

4. Preprocessing eo-1 hyperion hyperspectral data to support the application of agricultural indexes

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