Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Sarah Narges Fatholahi"'
Publikováno v:
Canadian Journal of Remote Sensing, Vol 47, Iss 3, Pp 413-431 (2021)
This paper investigates the deep neural networks for rapid and accurate detection of building rooftops in aerial orthoimages. The networks were trained using the manually labeled rooftop vector data digitized on aerial orthoimagery covering the Kitch
Externí odkaz:
https://doaj.org/article/64b91052127143afac1e2b7d66c23f66
Publikováno v:
Canadian Journal of Remote Sensing, Vol 46, Iss 5, Pp 585-602 (2020)
Algae blooms have been a serious problem in coastal and inland water bodies across Canada. The temporal and spatial variability of algae blooms makes it difficult to use in situ monitoring of the lakes. This study aimed to evaluate the potential of S
Externí odkaz:
https://doaj.org/article/c7a6a1ef8a5644fc90de9ab5673ff384
Autor:
Lucas Prado Osco, José Marcato Junior, Ana Paula Marques Ramos, Lúcio André de Castro Jorge, Sarah Narges Fatholahi, Jonathan de Andrade Silva, Edson Takashi Matsubara, Hemerson Pistori, Wesley Nunes Gonçalves, Jonathan Li
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 102, Iss , Pp 102456- (2021)
Deep Neural Networks (DNNs) learn representation from data with an impressive capability, and brought important breakthroughs for processing images, time-series, natural language, audio, video, and many others. In the remote sensing field, surveys an
Externí odkaz:
https://doaj.org/article/7b5fb02ddecd442ab55c0a03158f2f35
Autor:
Huxiong Li, Weiya Ye, Jun Liu, Weikai Tan, Saied Pirasteh, Sarah Narges Fatholahi, Jonathan Li
Publikováno v:
Remote Sensing, Vol 13, Iss 17, p 3448 (2021)
This study presents a novel workflow for automated Digital Terrain Model (DTM) extraction from Airborne LiDAR point clouds based on a convolutional neural network (CNN), considering a transfer learning approach. The workflow consists of three parts:
Externí odkaz:
https://doaj.org/article/7176e51da3a048268ee611faaa39fc01
Autor:
José Marcato Junior, Huifang Feng, Jonathan Li, Yiping Chen, Sarah Narges Fatholahi, Zhipeng Luo, Cheng Wang, Ming Cheng, Wen Li
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:11052-11061
Mobile Laser Scanning (MLS) system can provide high-density and accurate 3D point clouds that enable rapid pavement crack detection for road maintenance tasks. Supervised learning-based algorithms have been proved pretty effective for handling such a
Autor:
Lanying Wang, Jianshen Wang, Sarah Narges Fatholahi, Michael A. Chapman, Yiping Chen, Jonathan Li
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Publikováno v:
Canadian Journal of Remote Sensing. 47:413-431
This paper investigates the deep neural networks for rapid and accurate detection of building rooftops in aerial orthoimages. The networks were trained using the manually labeled rooftop vector dat...
Publikováno v:
Geomatica. 74:220-237
The Halton Region, as part of the Greater Toronto Area (GTA), is regarded as one of the fastest growing regions in Canada, generating 20% of national gross domestic product. It is also one of the most desirable places for living and for thriving busi
Publikováno v:
Canadian Journal of Remote Sensing. 46:585-602
Algae blooms have been a serious problem in coastal and inland water bodies across Canada. The temporal and spatial variability of algae blooms makes it difficult to use in situ monitoring of the l...
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol V-1-2020, Pp 71-79 (2020)
British Columba, Canada experienced its record-breaking wildfire season in 2017. The wildfire smoke is one of the main sources of fine particles with diameters smaller than 2.5 μm (PM2.5). The rising level of PM2.5 concentrations during the wildfi