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
Big data and remote sensing: A new software of ingestion
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Electrical and Computer Engineering"
DOI: 10.11591/ijece.v11i2.pp1521-1530
Abstract: Currently, remote sensing is widely used in environmental monitoring applications, mostly air quality mapping and climate change supervision. However, satellite sensors occur massive volumes of data in near-real-time, stored in multiple formats and are provided… read more here.
Keywords: data remote; remote sensing; ingestion; software ... See more keywords