Machine Learning System for Recognizing Subclasses.

摘要

Thematic information extraction from remote sensing images is a complex task. In this demonstration, we present Miner machine learning system. In particular, we demonstrate an advanced subclass recognition algorithm that is specically designed to extract finer classes from aggregate classes. Recent advances in remote sensing instrumentation, and commercialization of remote sensing technology has lead to the unprecedented growth in the acquisition and archival of high resolution (spatial, spectral, and temporal) imagery. These images can be analyzed to extract critical information (e.g., land-use/land-cover) which allows better management of the environment.