DIFET: Distributed Feature Extraction Tool For High Spatial Resolution Remote Sensing Images

In this paper, we propose distributed feature extraction tool from high spatial resolution remote sensing images. Tool is based on Apache Hadoop framework and Hadoop Image Processing Interface. Two corner detection (Harris and Shi-Tomasi) algorithms and five feature descriptors (SIFT, SURF, FAST, BRIEF, and ORB) are considered. Robustness of the tool in the task of … Read more

Vectorization of Large Amounts of Raster Satellite Images in a Distributed Architecture Using HIPI

Abstract—Vectorization processes focus on grouping pixels of a raster image into raw line segments, and forming lines, polylines or polygons. To vectorize massive raster images regarding resource and performance problems, we use a distributed HIPI image processing interface based on MapReduce approach. Apache Hadoop is placed at the core of the framework. To realize such … Read more

A MapReduce based Big-data Framework for Object Extraction from Mosaic Satellite Images

This paper provides with the background of the research that will investigate into distributed and scalable big data framework for stitching of mosaic satellite images and object extraction. It has explained the motivation of the research and the methodologies and plan of work to be undertaken. The current stage of the research is focusing initially … Read more