Zobrazeno 1 - 10
of 116
pro vyhledávání: '"Ortiz, Anthony"'
In recent years, there has been an explosion of proposed change detection deep learning architectures in the remote sensing literature. These approaches claim to offer state-of-the-art performance on different standard benchmark datasets. However, ha
Externí odkaz:
http://arxiv.org/abs/2402.06994
Autor:
Robinson, Caleb, Corley, Isaac, Ortiz, Anthony, Dodhia, Rahul, Ferres, Juan M. Lavista, Najafirad, Peyman
Fully understanding a complex high-resolution satellite or aerial imagery scene often requires spatial reasoning over a broad relevant context. The human object recognition system is able to understand object in a scene over a long-range relevant con
Externí odkaz:
http://arxiv.org/abs/2401.06762
Autor:
Fobi, Simone, Cardona, Manuel, Collins, Elliott, Robinson, Caleb, Ortiz, Anthony, Sederholm, Tina, Dodhia, Rahul, Ferres, Juan Lavista
This work presents an approach for combining household demographic and living standards survey questions with features derived from satellite imagery to predict the poverty rate of a region. Our approach utilizes visual features obtained from a singl
Externí odkaz:
http://arxiv.org/abs/2307.11921
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:
http://arxiv.org/abs/2306.12589
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:
http://arxiv.org/abs/2302.04305
Autor:
Robinson, Caleb, Ortiz, Anthony, Park, Hogeun, Gracia, Nancy Lozano, Kaw, Jon Kher, Sederholm, Tina, Dodhia, Rahul, Ferres, Juan M. Lavista
Innovations in computer vision algorithms for satellite image analysis can enable us to explore global challenges such as urbanization and land use change at the planetary level. However, domain shift problems are a common occurrence when trying to r
Externí odkaz:
http://arxiv.org/abs/2206.05377
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
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
Externí odkaz:
http://arxiv.org/abs/2202.01340
Autor:
Stewart, Adam J., Robinson, Caleb, Corley, Isaac A., Ortiz, Anthony, Ferres, Juan M. Lavista, Banerjee, Arindam
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
Externí odkaz:
http://arxiv.org/abs/2111.08872
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:
http://arxiv.org/abs/2106.15448
Autor:
Kshirsagar, Meghana, Robinson, Caleb, Yang, Siyu, Gholami, Shahrzad, Klyuzhin, Ivan, Mukherjee, Sumit, Nasir, Md, Ortiz, Anthony, Oviedo, Felipe, Tanner, Darren, Trivedi, Anusua, Xu, Yixi, Zhong, Ming, Dilkina, Bistra, Dodhia, Rahul, Ferres, Juan M. Lavista
AI for good (AI4G) projects involve developing and applying artificial intelligence (AI) based solutions to further goals in areas such as sustainability, health, humanitarian aid, and social justice. Developing and deploying such solutions must be d
Externí odkaz:
http://arxiv.org/abs/2104.11757