CAJ | 학술논문

随着空间遥感技术和对地观测技术的不断发展，光学、热红外和微波等不同技术手段可以获取同一地区的多种遥感影像数据(多时相、多光谱、多传感器、多平台和多分辨率等)，每天获取的遥感数据量越来越大。同时，大量的遥感应用需要快速地对这些遥感数据进行处理与分析，提供辅助决策信息。因此，如果不能及时进行数据处理，这些数据就会失去时效性，甚至失去数据本身的价值。高性能计算与并行处理技术，加速了遥感影像数据处理与信息提取的进度，如大规模多处理系统、网格与云计算技术、通用图形处理器( GPGPU)等。文中综述了高性能计算、并行处理及云计算技术应用于遥感领域的最新进展，给出了一些研究与应用范例，并提出了当前高性能遥感影像处理所面临的一些挑战。
수착공간요감기술화대지관측기술적불단발전，광학、열홍외화미파등불동기술수단가이획취동일지구적다충요감영상수거(다시상、다광보、다전감기、다평태화다분변솔등)，매천획취적요감수거량월래월대。동시，대량적요감응용수요쾌속지대저사요감수거진행처리여분석，제공보조결책신식。인차，여과불능급시진행수거처리，저사수거취회실거시효성，심지실거수거본신적개치。고성능계산여병행처리기술，가속료요감영상수거처리여신식제취적진도，여대규모다처리계통、망격여운계산기술、통용도형처리기( GPGPU)등。문중종술료고성능계산、병행처리급운계산기술응용우요감영역적최신진전，급출료일사연구여응용범례，병제출료당전고성능요감영상처리소면림적일사도전。
With the rapid developments in spatial remote sensing and earth observations,multiple approaches are used for remote sensing image acquisition,including multi-temporal,multi-spectral,various platforms and multi-scale precision based technologies. At the same time,the large amount of remote sensing application for processing and analysis of the remote sensing data,provide auxiliary decision-making information. These explosive sensed data will lose their temporal value if they can’ t be processed in time in many remote sensing applications. For the sake of high performance computing and parallel processing technologies,the image processing procedure is speeded by large scale multiprocessor system, grid and cloud computing platform and general purpose graphical processing units. In this paper summarize the recent advances in high performance computing,parallel processing,cloud computing technology for sensing field. Give some examples of research and application,also discuss some challenges in this research area.