Abstract: This paper proposed a spectral angle parallel classification algorithm on remote sensing image against mass remote sensing data processing. Based on single-machine spectral angle algorithm, aiming at defects in processing remote sensing image data, such as slow speed, poor effect, and insufficient internal memory, this algorithm proposed some synchronized,exclusive and load balancing strategies against spectral angle parallel classification algorithm on remote sensing image, as well as method of parallel processing on multiple equipments under cluster environment. The paper comparcel classified image with famous software ENVI through analyzing time complexity and speedup ratio of the algorithm and doing verification by actual examples under the cluster environment to inspect and verify the superiority and validity of the algorithm.

Key words: Parallel processing, Spectral angle classification, Remote sensing image classification