Taking the Long View: Enhancing Learning On Multi-Temporal, High-Resolution, and Disparate Remote Sensing Data-Reference-Cited by-同舟云学术

Taking the Long View: Enhancing Learning On Multi-Temporal, High-Resolution, and Disparate Remote Sensing Data

Published:2023-11-15 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation
language:
Short-container-title:

Author:

Correa Santiago¹^ORCID,Perez Gustavo¹^ORCID,Jaramillo Paulina²^ORCID,Taneja Jay³^ORCID

Affiliation:

1. University of Massachusetts Amherst, USA

2. Carnegie Mellon University, United States of America

3. University of Massachusetts Amherst, United States of America

Funder

Rockefeller Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3600100.3623722

Reference72 articles.

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4. Christopher M. Bishop . 2006. Pattern Recognition and Machine Learning (Information Science and Statistics) . Springer-Verlag , Berlin, Heidelberg . Christopher M. Bishop. 2006. Pattern Recognition and Machine Learning (Information Science and Statistics). Springer-Verlag, Berlin, Heidelberg.

5. Adrian Boguszewski Dominik Batorski Natalia Ziemba-Jankowska Tomasz Dziedzic and Anna Zambrzycka. 2020. LandCover.ai: Dataset for Automatic Mapping of Buildings Woodlands Water and Roads from Aerial Imagery. https://doi.org/10.48550/ARXIV.2005.02264 10.48550/ARXIV.2005.02264