WATCH: Wide-Area Terrestrial Change Hypercube-Reference-Cited by-同舟云学术

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WATCH: Wide-Area Terrestrial Change Hypercube

Published:2024-01-03 Issue: Volume: Page:8262-8271
ISSN:
Container-title:2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
language:
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Author:

Greenwell Connor¹,Crall Jon¹,Purri Matthew²,Dana Kristin²,Jacobs Nathan³,Hadzic Armin⁴,Workman Scott⁴,Leotta Matt¹

Affiliation:

1. Kitware, Inc

2. Rutgers University

3. Washington University in St. Louis

4. DZYNE Technologies

Funder

Office of the Director

Intelligence Advanced Research Projects Activity

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10483279/10483282/10483919.pdf?arnumber=10483919

Reference35 articles.

1. Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks

2. Continental-scale land surface phenology from harmonized Landsat 8 and Sentinel-2 imagery

3. Remote Sensing Image Change Detection With Transformers

4. A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Geowatch for Detecting Heavy Construction in Heterogeneous Time Series of Satellite Images;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

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