Tiling of Satellite Images to Capture an Island Object

Abstract. This study proposes a novel tiling approach to capture an image of an entire object. Multi-spectral and multi-temporal satellite images are obtained a priori, and these individual image pieces can then be joined together at a later date to form an image of the entire object. The effectiveness of the proposed technique has been … Read more Tiling of Satellite Images to Capture an Island Object

Resource- and content-aware, scalable stitching framework for remote sensing images

Abstract This paper proposes a new approach to solving the scalability problem in stitching and registration of satellite images. The image stitching process is mostly utilized to capture an image of an entire object, whose parts fall in separate but overlapping mosaics. Due to their high resolutions and huge sizes, the stitching of satellite mosaic … Read more Resource- and content-aware, scalable stitching framework for remote sensing images

An automated technique to determine spatio-temporal changes in satellite island images with vectorization and spatial queries

Abstract. For spatio-temporal and topologic analyses, vectorial information (car- rying coordinate values defined as point sets) gives better information than its raster (grid of pixels) counterpart. The study presented in this paper is based on (i) recogni- tion and extraction of an island object in a set of digital images captured by LandSat-7 satellite and … Read more An automated technique to determine spatio-temporal changes in satellite island images with vectorization and spatial queries

An Approach For Stitching Satellite Images in a Bigdata Mapreduce Framework

In this study we present a two-step map/reduce framework to stitch satellite mosaic images. The proposed system enable recognition and extraction of objects whose parts falling in separate satellite mosaic images. However this is a time and resource consuming process. The major aim of the study is improving the performance of the image stitching processes … Read more An Approach For Stitching Satellite Images in a Bigdata Mapreduce Framework

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

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