  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.
