International Workshop on GeoInformation Science

DIFET: DISTRIBUTED FEATURE EXTRACTION TOOL FOR HIGH SPATIAL RESOLUTION REMOTE SENSING IMAGES

S. Eken E. Aydın A. Sayar

Abstract

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 feature extraction from LandSat-8 imageries are evaluated in terms of horizontal scalability.

Conference
International Workshop on GeoInformation Science
Keywords
Distributed Feature Extraction Apache Hadoop HIPI Big Data Remote Sensing

Language
English

Subject
Computer Science