Results 261 to 270 of about 1,146,490 (325)

AI-Facilitated Assessment of Built Environment Using Neighborhood Satellite Imagery and Cardiovascular Risk. [PDF]

J Am Coll Cardiol
Chen Z, Vieira de Oliveira Salerno PR, Dazard JE, Kumar Sirasapalli S, Makhlouf MHE, Motairek I, Moorthy S, Al-Kindi S, Rajagopalan S.   +8 more
europepmc   +1 more source

Improving early prediction of crop yield in Spanish olive groves using satellite imagery and machine learning. [PDF]

PLoS One
Ramos MI, Cubillas JJ, Córdoba RM, Ortega LM.   +3 more
europepmc   +1 more source

Aboveground biomass estimation in a grassland ecosystem using Sentinel-2 satellite imagery and machine learning algorithms. [PDF]

Environ Monit Assess
Netsianda A, Mhangara P.
europepmc   +1 more source

Analyzing Satellite Imagery to Target Tuberculosis Control Interventions in Densely Urbanized Areas of Kigali, Rwanda: Cross-Sectional Pilot Study.

JMIR Public Health Surveill
Faccin M, Geenen C, Happaerts M, Ombelet S, Migambi P, André E.   +5 more
europepmc   +1 more source

Leveraging airborne imaging spectroscopy and multispectral satellite imagery to map glacial sediment plumes in Kachemak Bay, Alaska.

J Hydrol Reg Stud
Hartl L, Schmitt C, Stuefer M, Jenckes J, Page B, Crawford C, Schmidt G, Yang R, Hock R.   +8 more
europepmc   +1 more source

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SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery

AAAI Conference on Artificial Intelligence, 2023
Geographic information is essential for modeling tasks in fields ranging from ecology to epidemiology. However, extracting relevant location characteristics for a given task can be challenging, often requiring expensive data fusion or distillation from ...
Konstantin Klemmer, Esther Rolf, C. Robinson, Lester Mackey, Marc Rußwurm   +4 more
semanticscholar   +1 more source

Road Extraction From Satellite Imagery by Road Context and Full-Stage Feature

IEEE Geoscience and Remote Sensing Letters, 2023
Road extraction from satellite imagery is vital in a broad range of applications. However, extracting complete roads is challenging due to road occlusions caused by the surroundings. This letter proposed an improved encoder–decoder network via extracting
Zhigang Yang, Daoxiang Zhou, Ying Yang, Jiapeng Zhang, Zehua Chen   +4 more
semanticscholar   +1 more source

DiffusionSat: A Generative Foundation Model for Satellite Imagery

International Conference on Learning Representations, 2023
Diffusion models have achieved state-of-the-art results on many modalities including images, speech, and video. However, existing models are not tailored to support remote sensing data, which is widely used in important applications including ...
Samar Khanna, Patrick Liu, Linqi Zhou, Chenlin Meng, Robin Rombach, Marshall Burke, David B. Lobell, Stefano Ermon   +7 more
semanticscholar   +1 more source

CoANet: Connectivity Attention Network for Road Extraction From Satellite Imagery

IEEE Transactions on Image Processing, 2021
Extracting roads from satellite imagery is a promising approach to update the dynamic changes of road networks efficiently and timely. However, it is challenging due to the occlusions caused by other objects and the complex traffic environment, the pixel-
J. Mei, Roujing Li, Wang Gao, Ming-Ming Cheng   +3 more
semanticscholar   +1 more source

Fully Convolutional Networks for Multisource Building Extraction From an Open Aerial and Satellite Imagery Data Set

IEEE Transactions on Geoscience and Remote Sensing, 2019
The application of the convolutional neural network has shown to greatly improve the accuracy of building extraction from remote sensing imagery.
Shunping Ji, Shiqing Wei, Meng Lu
semanticscholar   +1 more source