Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Robinson, Caleb"'
Autor:
Robinson, Caleb, Nsutezo, Simone Fobi, Ortiz, Anthony, Sederholm, Tina, Dodhia, Rahul, Birge, Cameron, Richards, Kasie, Pitcher, Kris, Duarte, Paulo, Ferres, Juan M. Lavista
Rapid and accurate building damage assessments from high-resolution satellite imagery following a natural disaster is essential to inform and optimize first responder efforts. However, performing such building damage assessments in an automated manne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a55c1d47528ec3c2f54af517163c332a
http://arxiv.org/abs/2306.12589
http://arxiv.org/abs/2306.12589
Autor:
Stewart, Adam J., Lehmann, Nils, Corley, Isaac A., Wang, Yi, Chang, Yi-Chia, Braham, Nassim Ait Ali, Sehgal, Shradha, Robinson, Caleb, Banerjee, Arindam
The Landsat program is the longest-running Earth observation program in history, with 50+ years of data acquisition by 8 satellites. The multispectral imagery captured by sensors onboard these satellites is critical for a wide range of scientific fie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60d3a105f85d3b395d70a59721a3c1f4
http://arxiv.org/abs/2306.09424
http://arxiv.org/abs/2306.09424
Autor:
Roman, Anthony Cintron, Xu, Kevin, Smith, Arfon, Vega, Jehu Torres, Robinson, Caleb, Ferres, Juan M Lavista
GitHub is the world's largest platform for collaborative software development, with over 100 million users. GitHub is also used extensively for open data collaboration, hosting more than 800 million open data files, totaling 142 terabytes of data. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0609807c7c61d15d8b09e7fa2bf21617
http://arxiv.org/abs/2306.06191
http://arxiv.org/abs/2306.06191
Research in self-supervised learning (SSL) with natural images has progressed rapidly in recent years and is now increasingly being applied to and benchmarked with datasets containing remotely sensed imagery. A common benchmark case is to evaluate SS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6154e2edb6b5f5cb9bc080d09a859657
http://arxiv.org/abs/2305.13456
http://arxiv.org/abs/2305.13456
Autor:
Le, Van Anh, Reddy, Varshini, Chen, Zixi, Li, Mengyuan, Tang, Xinran, Ortiz, Anthony, Nsutezo, Simone Fobi, Robinson, Caleb
In this paper we propose a mask-conditional synthetic image generation model for creating synthetic satellite imagery datasets. Given a dataset of real high-resolution images and accompanying land cover masks, we show that it is possible to train an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::23c798da9313d57ff3e216f92d183221
Autor:
Stewart, Adam J., Robinson, Caleb, Corley, Isaac A., Ortiz, Anthony, Ferres, Juan M. Lavista, Banerjee, Arindam
Publikováno v:
Proceedings of the 30th International Conference on Advances in Geographic Information Systems.
Remotely sensed geospatial data are critical for applications including precision agriculture, urban planning, disaster monitoring and response, and climate change research, among others. Deep learning methods are particularly promising for modeling
Autor:
Rolf, Esther, Malkin, Nikolay, Graikos, Alexandros, Jojic, Ana, Robinson, Caleb, Jojic, Nebojsa
We propose a method for jointly inferring labels across a collection of data samples, where each sample consists of an observation and a prior belief about the label. By implicitly assuming the existence of a generative model for which a differentiab
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13c3a1d78cde0febe197ec4480b1fdfc
http://arxiv.org/abs/2202.14000
http://arxiv.org/abs/2202.14000
Autor:
Ortiz, Anthony, Negandhi, Dhaval, Mysorekar, Sagar R, Kiesecker, Joseph, Nagaraju, Shivaprakash K, Robinson, Caleb, Bhatia, Priyal, Khurana, Aditi, Wang, Jane, Oviedo, Felipe, Ferres, Juan Lavista
Publikováno v:
Scientific data. 9(1)
Rapid development of renewable energy sources, particularly solar photovoltaics (PV), is critical to mitigate climate change. As a result, India has set ambitious goals to install 500 gigawatts of solar energy capacity by 2030. Given the large footpr
We present simple algorithms for land cover change detection in the 2021 IEEE GRSS Data Fusion Contest. The task of the contest is to create high-resolution (1m / pixel) land cover change maps of a study area in Maryland, USA, given multi-resolution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d9c1a18b669e271a3eebd02883ae179
http://arxiv.org/abs/2101.01154
http://arxiv.org/abs/2101.01154
Localizing and counting large ungulates -- hoofed mammals like cows and elk -- in very high-resolution satellite imagery is an important task for supporting ecological studies. Prior work has shown that this is feasible with deep learning based metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::017a94ba60dd2df51b7a16a1f2620af4