Design and implementation of distributed computing framework suitable for mass remote sensing image

Design and implementation of distributed computing framework suitable for mass remote sensing image

Cheng Miaofang Yang Wenhui Chen Ken

Aiming at the problem of processing and calculating of the massive remote sensing image, a distributed computing framework SPC (Split Process Cluster) is designed and implemented based on the MapReduce calculation model. The SPC framework can segment the remote sensing image data, and then the distributed processing through Hadoop, finally, the clustering algorithm is adopted to merge the results, so as to realize the distributed processing of mass remote sensing images. The test results show that the SPC framework can give full play to the performance advantages of distributed processing, and its image processing effect is better than that of single node.

Design and implementation of distributed computing framework suitable for mass remote sensing image