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Mapping the walk a scalable computer vision approach for generating sidewalk network datasets from aerial imagery
Mapping the walk a scalable computer vision approach for generating sidewalk network datasets from aerial imagery
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Mapping the walk a scalable computer vision approach for generating sidewalk network datasets from aerial imagery

Maryam Hosseini Andres Sevtsuk; Fabio Miranda; Roberto Marcondes César Júnior; Claudio T Silva

Computers, Environment and Urban Systems New York v. 101, artigo n. 101950, p. 1-13, 2023

New York 2023

Localização: IME - Inst. Matemática e Estatística    (PROD-3133422 )(Acessar)

2
A polygon aggregation method with global feature preservation using superpixel segmentation
A polygon aggregation method with global feature preservation using superpixel segmentation
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A polygon aggregation method with global feature preservation using superpixel segmentation

Shen, Yilang ; Ai, Tinghua ; Li, Wende ; Yang, Min ; Feng, Yu

Computers, environment and urban systems, 2019-05, Vol.75, p.117-131 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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3
Representing place locales using scene elements
Representing place locales using scene elements
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Representing place locales using scene elements

Zhang, Fan ; Zhang, Ding ; Liu, Yu ; Lin, Hui

Computers, environment and urban systems, 2018-09, Vol.71, p.153-164 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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4
Mapping the walk: A scalable computer vision approach for generating sidewalk network datasets from aerial imagery
Mapping the walk: A scalable computer vision approach for generating sidewalk network datasets from aerial imagery
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Mapping the walk: A scalable computer vision approach for generating sidewalk network datasets from aerial imagery

Hosseini, Maryam ; Sevtsuk, Andres ; Miranda, Fabio ; Cesar, Roberto M. ; Silva, Claudio T.

Computers, environment and urban systems, 2023-04, Vol.101, p.101950, Article 101950 [Periódico revisado por pares]

Elsevier Ltd

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5
Identifying degrees of deprivation from space using deep learning and morphological spatial analysis of deprived urban areas
Identifying degrees of deprivation from space using deep learning and morphological spatial analysis of deprived urban areas
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Identifying degrees of deprivation from space using deep learning and morphological spatial analysis of deprived urban areas

Abascal, Angela ; Rodríguez-Carreño, Ignacio ; Vanhuysse, Sabine ; Georganos, Stefanos ; Sliuzas, Richard ; Wolff, Eleonore ; Kuffer, Monika

Computers, environment and urban systems, 2022-07, Vol.95, p.101820, Article 101820 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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6
Rooftop segmentation and optimization of photovoltaic panel layouts in digital surface models
Rooftop segmentation and optimization of photovoltaic panel layouts in digital surface models
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Rooftop segmentation and optimization of photovoltaic panel layouts in digital surface models

Aslani, Mohammad ; Seipel, Stefan

Computers, environment and urban systems, 2023-10, Vol.105, p.102026, Article 102026 [Periódico revisado por pares]

Elsevier Ltd

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7
A segment derived patch-based logistic cellular automata for urban growth modeling with heuristic rules
A segment derived patch-based logistic cellular automata for urban growth modeling with heuristic rules
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A segment derived patch-based logistic cellular automata for urban growth modeling with heuristic rules

Li, Xuecao ; Gong, Peng ; Yu, Le ; Hu, Tengyun

Computers, environment and urban systems, 2017-09, Vol.65, p.140-149 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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8
A novel approach to examining urban housing market segmentation: Comparing the dynamics between sales submarkets and rental submarkets
A novel approach to examining urban housing market segmentation: Comparing the dynamics between sales submarkets and rental submarkets
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A novel approach to examining urban housing market segmentation: Comparing the dynamics between sales submarkets and rental submarkets

Hu, Lirong ; He, Shenjing ; Su, Shiliang

Computers, environment and urban systems, 2022-06, Vol.94, p.101775, Article 101775 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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9
W-TextCNN: A TextCNN model with weighted word embeddings for Chinese address pattern classification
W-TextCNN: A TextCNN model with weighted word embeddings for Chinese address pattern classification
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W-TextCNN: A TextCNN model with weighted word embeddings for Chinese address pattern classification

Zhang, Chen ; Guo, Renzhong ; Ma, Xiangyuan ; Kuai, Xi ; He, Biao

Computers, environment and urban systems, 2022-07, Vol.95, p.101819, Article 101819 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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10
Assessing surface drainage conditions at the street and neighborhood scale: A computer vision and flow direction method applied to lidar data
Assessing surface drainage conditions at the street and neighborhood scale: A computer vision and flow direction method applied to lidar data
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Assessing surface drainage conditions at the street and neighborhood scale: A computer vision and flow direction method applied to lidar data

Lee, Cheng-Chun ; Gharaibeh, Nasir G.

Computers, environment and urban systems, 2022-04, Vol.93, p.101755, Article 101755 [Periódico revisado por pares]

Elsevier Ltd

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