Image and Signal Processing Methods

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

[+] Author Affiliations
Yufeng Chen

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

Nanjing Branch of China Telecom Corp, No. 8 Lanqijie, Nanjing 210007, China

Zebin Wu, Zhihui Wei, Yonglong Li

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

Le Sun

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

J. Appl. Remote Sens. 10(2), 025024 (Jun 20, 2016). doi:10.1117/1.JRS.10.025024
History: Received January 1, 2016; Accepted June 1, 2016
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Abstract.  With the gradual increase in the spatial and spectral resolution of hyperspectral images, the size of image data becomes larger and larger, and the complexity of processing algorithms is growing, which poses a big challenge to efficient massive hyperspectral image processing. Cloud computing technologies distribute computing tasks to a large number of computing resources for handling large data sets without the limitation of memory and computing resource of a single machine. This paper proposes a parallel pixel purity index (PPI) algorithm for unmixing massive hyperspectral images based on a MapReduce programming model for the first time in the literature. According to the characteristics of hyperspectral images, we describe the design principle of the algorithm, illustrate the main cloud unmixing processes of PPI, and analyze the time complexity of serial and parallel algorithms. Experimental results demonstrate that the parallel implementation of the PPI algorithm on the cloud can effectively process big hyperspectral data and accelerate the algorithm.

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© 2016 Society of Photo-Optical Instrumentation Engineers

Citation

Yufeng Chen ; Zebin Wu ; Le Sun ; Zhihui Wei and Yonglong Li
"Parallel optimization of pixel purity index algorithm for massive hyperspectral images in cloud computing environment", J. Appl. Remote Sens. 10(2), 025024 (Jun 20, 2016). ; http://dx.doi.org/10.1117/1.JRS.10.025024


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