Parallelized LEDAPS method for Remote Sensing Preprocessing Based on MPI

• 作者: Xionghua CHEN Xu ZHANG Yanchen YANG Ying GUO Yong MA
• 来源期刊: 亚洲农业研究：英文版
• 学科: 农学
• 关键词: FOREST carbon STOCK LEDAPS LANDSAT image preproces
• 年，卷（期）: 2013,（12）
• 页码范围: 90-95
• 页数: 6页
• 分类号: S771.8

摘要

Based on Landsat image,the Landsat Ecosystem Disturbance Adaptive Processing System(LEDAPS)uses radiation change detection method for image processing and offers the surface reflectivity products for ecosystem carbon sequestration and carbon reserves.As the accumulation of massive remote sensing data especially for the Landsat image,the traditional serial LEDAPS for image processing has a long cycle that make a lot of difficulties in practical application.For this problem,this paper design a high performance parallel LEDAPS processing method based on MPI.The results not only aimed to improve the calculation speed and save computing time,but also considered the load balance between the flexibly extended computing nodes.Results show that the highest speed ratio of parallelized LEDAPS reached 7.37 when the number of MPI process is 8.It effectively improves the ability of LEDAPS to handle massive remote sensing data and reduces the forest carbon stocks calculation cycle by using the remote sensing images.