Study of Remote Sensing Imagery Parallel Segmentation Based on Block and Processing Chain Strategy

Remote sensing image segmentation is one of key factors which determine the success of remote sensing image analysis and calculation. Information extraction and target recognition only can expand further and get better results based on obtained better segmentation results. But most algorithms at present for Remote sensing image segmentation are specific and there is no universal segmentation theory and algorithms. This paper aims to design the universal remote sensing image segmentation parallel model preliminarily, using remote sensing image parallel block strategy and image processing chain in the circumstance of high performance cluster processing system.