Comprehensive review of evolution of satellite sensor specifications against speedup performance of pattern recognition algorithms in remote sensing

B. Gokaraju, S. Bhushan, V. Anantharaj, A. Turlapaty, D. Doss
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引用次数: 1

Abstract

The objectives of this study are as follows: (i) Discuss the necessity of HPC in remote sensing community towards contemporary scientific solution requirements; (ii) Investigate the speedup in performance of the template matching algorithm with FFT parallelization using hybrid Central Processing Units (CPUs)/Graphics Processing Units (GPUs); (iii) Apply the speedup algorithms for detection of real-time man-made structures such as buildings from remote sensing datasets, for constructing a 3-Dimensional city modelling.
遥感中模式识别算法加速性能下卫星传感器规格的演变综述
本研究的目的如下:(i)探讨HPC在遥感领域适应当代科学解决方案需求的必要性;研究使用混合中央处理单元(cpu)/图形处理单元(gpu)的模板匹配算法与FFT并行化的性能加速;(iii)应用加速算法检测遥感数据集的建筑物等实时人造结构,以构建三维城市模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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