A Deep-Learning-Based Forecasting Ensemble to Predict Missing Data for Remote Sensing Analysis
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2017.2760202
Abstract: The problem of missing data in remote sensing analysis is manifold. The situation becomes more serious during multitemporal analysis when data at various a-periodic timestamps are missing. In this work, we have proposed a deep-learning-based… read more here.
Keywords: sensing analysis; analysis; deep learning; remote sensing ... See more keywords