Special Features of Remote Sensing Big Data

Author:

Di Liping,Yu Eugene

Publisher

Springer International Publishing

Reference45 articles.

1. Antunes RR, Blaschke T, Tiede D et al (2019) Proof of concept of a novel cloud computing approach for object-based remote sensing data analysis and classification. GIScience Remote Sens 56:536–553. https://doi.org/10.1080/15481603.2018.1538621

2. Brunet P-M, Montmorry A, Frezouls B (2012) Big data challenges, an insight into the Gaia Hadoop solution. In: SpaceOps 2012 conference: Stockholm, Sweden, 11–15 June 2012, Stockholm, Sweden, pp 1263–1274

3. Buchen E (2014) SpaceWorks’ 2014 nano/microsatellite market assessment. In: Proceedings of the small satellite conference, technical session I: private endeavors. Utah State University, Logan, Utah, USA, pp 1–5

4. Buchen E (2015) Small satellite market observations. In: Proceedings of the small satellite conference, technical session VII: opportunities, trends and initiatives. SpaceWorks, Atlanta, pp 1–5

5. Chi M, Plaza A, Benediktsson JA et al (2016) Big data for remote sensing: challenges and opportunities. Proc IEEE 104:2207–2219. https://doi.org/10.1109/JPROC.2016.2598228

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