Title: Multi-source remote sensing image big data classification system design in cloud computing environment

Authors: Xuan-Yue Tong; Chunguang Guo; Hongfang Cheng

Addresses: Software College, Nanyang Institute of Technology, Nanyang 473000, China ' Department of Information Engineering, Henan College of Industry and Information Technology, Jiaozuo 454150, China ' Department of Information Engineering, Wuhu Institute of Technology, Wuhu 241000, China

Abstract: Due to the problems of poor classification and time-consuming in traditional multi-source remote sensing image big data classification system, it cannot meet the standard requirements for image big data classification in related fields. To solve the above problems, the multi-source remote sensing image data classification system under cloud computing environment is optimised. Following the line string transmission protocol architecture, relevant information is processed, transformed and fused. Data are transported to the host through protocol transmission. Based on above principle, the system hardware and software are designed. Detailed, designing hardware system refers to designing image sensor interface and system processing interface. The design of the system software part can be divided into two parts, including the two-wire serial protocol formulation and the image big data classification algorithm that provides users with initialisation operations. At the same time, the image is sharpened and the pixels are improved. Experimental verification results show that the system has good processing effect and short time consumption.

Keywords: cloud computing environment; multi-source remote sensing; image big data; classification system.

DOI: 10.1504/IJIMS.2020.105044

International Journal of Internet Manufacturing and Services, 2020 Vol.7 No.1/2, pp.130 - 145

Received: 21 Jun 2018
Accepted: 31 Oct 2018
Published online: 11 Feb 2020 *

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