Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Corley, Isaac A."'
Estimating global tree canopy height is crucial for forest conservation and climate change applications. However, capturing high-resolution ground truth canopy height using LiDAR is expensive and not available globally. An efficient alternative is to
Externí odkaz:
http://arxiv.org/abs/2408.04523
Earthquakes are commonly estimated using physical seismic stations, however, due to the installation requirements and costs of these stations, global coverage quickly becomes impractical. An efficient and lower-cost alternative is to develop machine
Externí odkaz:
http://arxiv.org/abs/2407.18128
The production of wind energy is a crucial part of sustainable development and reducing the reliance on fossil fuels. Maintaining the integrity of wind turbines to produce this energy is a costly and time-consuming task requiring repeated inspection
Externí odkaz:
http://arxiv.org/abs/2407.07186
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:
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:
http://arxiv.org/abs/2306.09424
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:
http://arxiv.org/abs/2305.13456
A crucial part of any home is the roof over our heads to protect us from the elements. In this paper we present the Zeitview Rooftop Geometry (ZRG) dataset for residential rooftop understanding. ZRG is a large-scale residential rooftop dataset of ove
Externí odkaz:
http://arxiv.org/abs/2304.13219
Autor:
Corley, Isaac, Najafirad, Peyman
Digital Surface Models (DSM) offer a wealth of height information for understanding the Earth's surface as well as monitoring the existence or change in natural and man-made structures. Classical height estimation requires multi-view geospatial image
Externí odkaz:
http://arxiv.org/abs/2304.13214
Autor:
Corley, Isaac, Najafirad, Peyman
Remote sensing change detection, identifying changes between scenes of the same location, is an active area of research with a broad range of applications. Recent advances in multimodal self-supervised pretraining have resulted in state-of-the-art me
Externí odkaz:
http://arxiv.org/abs/2202.13251