Comparative analysis of deep transfer learning performance on crop classification-Reference-Cited by-同舟云学术

Comparative analysis of deep transfer learning performance on crop classification

Published:2020-11-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 9th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data
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Author:

Gadiraju Krishna Karthik¹,Vatsavai Ranga Raju²

Affiliation:

1. North Carolina State University

2. Lirio & North Carolina State University, Raleigh, North Carolina

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3423336.3431369

Reference48 articles.

1. [n.d.]. NAIP National Agriculture Imagery Program. https://www.fsa.usda.gov/programs-and-services/aerial-photography/imagery-programs/naip-imagery/. [n.d.]. NAIP National Agriculture Imagery Program. https://www.fsa.usda.gov/programs-and-services/aerial-photography/imagery-programs/naip-imagery/.

2. Planet Team (2017). [n.d.]. Planet Application Program Interface: In Space for Life on Earth. San Francisco CA. https://api.planet.com Planet Team (2017). [n.d.]. Planet Application Program Interface: In Space for Life on Earth. San Francisco CA. https://api.planet.com

3. European Space Agency. [n.d.]. GlobCover. http://due.esrin.esa.int/page_globcover.php European Space Agency. [n.d.]. GlobCover. http://due.esrin.esa.int/page_globcover.php

4. Mariana Belgiu and Ovidiu Csillik. 2018. Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis. Remote sensing of environment 204 (2018) 509--523. Mariana Belgiu and Ovidiu Csillik. 2018. Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis. Remote sensing of environment 204 (2018) 509--523.

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