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A Remote Sensing Image Semantic Segmentation Method by Combining Deformable Convolution with Conditional Random Fields
A Remote Sensing Image Semantic Segmentation Method by Combining Deformable Convolution with Conditional Random Fields
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A Remote Sensing Image Semantic Segmentation Method by Combining Deformable Convolution with Conditional Random Fields

Zuo, Zongcheng ; Zhang, Wen ; Zhang, Dongying

Journal of Geodesy and Geoinformation Science = Ce hui xue bao (Ying wen ban), 2020-09, Vol.3 (3), p.39

Beijing: Surveying and Mapping Press

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MAP-Net: Multiple Attending Path Neural Network for Building Footprint Extraction From Remote Sensed Imagery
MAP-Net: Multiple Attending Path Neural Network for Building Footprint Extraction From Remote Sensed Imagery
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MAP-Net: Multiple Attending Path Neural Network for Building Footprint Extraction From Remote Sensed Imagery

Zhu, Qing ; Liao, Cheng ; Hu, Han ; Mei, Xiaoming ; Li, Haifeng

IEEE transactions on geoscience and remote sensing, 2021-07, Vol.59 (7), p.6169-6181 [Periódico revisado por pares]

New York: IEEE

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3
On the Effectiveness of Weakly Supervised Semantic Segmentation for Building Extraction From High-Resolution Remote Sensing Imagery
On the Effectiveness of Weakly Supervised Semantic Segmentation for Building Extraction From High-Resolution Remote Sensing Imagery
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On the Effectiveness of Weakly Supervised Semantic Segmentation for Building Extraction From High-Resolution Remote Sensing Imagery

Li, Zhenshi ; Zhang, Xueliang ; Xiao, Pengfeng ; Zheng, Zixian

IEEE journal of selected topics in applied earth observations and remote sensing, 2021, Vol.14, p.3266-3281 [Periódico revisado por pares]

Piscataway: IEEE

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4
Mapping large-scale and fine-grained urban functional zones from VHR images using a multi-scale semantic segmentation network and object based approach
Mapping large-scale and fine-grained urban functional zones from VHR images using a multi-scale semantic segmentation network and object based approach
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Mapping large-scale and fine-grained urban functional zones from VHR images using a multi-scale semantic segmentation network and object based approach

Du, Shouhang ; Du, Shihong ; Liu, Bo ; Zhang, Xiuyuan

Remote sensing of environment, 2021-08, Vol.261, p.112480, Article 112480 [Periódico revisado por pares]

New York: Elsevier Inc

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5
Building Footprint Generation by Integrating Convolution Neural Network With Feature Pairwise Conditional Random Field (FPCRF)
Building Footprint Generation by Integrating Convolution Neural Network With Feature Pairwise Conditional Random Field (FPCRF)
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Building Footprint Generation by Integrating Convolution Neural Network With Feature Pairwise Conditional Random Field (FPCRF)

Li, Qingyu ; Shi, Yilei ; Huang, Xin ; Zhu, Xiao Xiang

IEEE transactions on geoscience and remote sensing, 2020-11, Vol.58 (11), p.7502-7519 [Periódico revisado por pares]

New York: IEEE

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6
TGNet: Geometric Graph CNN on 3-D Point Cloud Segmentation
TGNet: Geometric Graph CNN on 3-D Point Cloud Segmentation
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TGNet: Geometric Graph CNN on 3-D Point Cloud Segmentation

Li, Ying ; Ma, Lingfei ; Zhong, Zilong ; Cao, Dongpu ; Li, Jonathan

IEEE transactions on geoscience and remote sensing, 2020-05, Vol.58 (5), p.3588-3600 [Periódico revisado por pares]

New York: IEEE

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7
Deep learning on edge: Extracting field boundaries from satellite images with a convolutional neural network
Deep learning on edge: Extracting field boundaries from satellite images with a convolutional neural network
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Deep learning on edge: Extracting field boundaries from satellite images with a convolutional neural network

Waldner, François ; Diakogiannis, Foivos I.

Remote sensing of environment, 2020-08, Vol.245, p.111741, Article 111741 [Periódico revisado por pares]

New York: Elsevier Inc

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8
Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images
Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images
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Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images

Volpi, Michele ; Tuia, Devis

ISPRS journal of photogrammetry and remote sensing, 2018-10, Vol.144, p.48-60 [Periódico revisado por pares]

Elsevier B.V

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9
Cross Fusion Net: A Fast Semantic Segmentation Network for Small-Scale Semantic Information Capturing in Aerial Scenes
Cross Fusion Net: A Fast Semantic Segmentation Network for Small-Scale Semantic Information Capturing in Aerial Scenes
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Cross Fusion Net: A Fast Semantic Segmentation Network for Small-Scale Semantic Information Capturing in Aerial Scenes

Peng, Chengli ; Zhang, Kaining ; Ma, Yong ; Ma, Jiayi

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-13 [Periódico revisado por pares]

New York: IEEE

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10
Applying Fully Convolutional Architectures for Semantic Segmentation of a Single Tree Species in Urban Environment on High Resolution UAV Optical Imagery
Applying Fully Convolutional Architectures for Semantic Segmentation of a Single Tree Species in Urban Environment on High Resolution UAV Optical Imagery
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Applying Fully Convolutional Architectures for Semantic Segmentation of a Single Tree Species in Urban Environment on High Resolution UAV Optical Imagery

Lobo Torres, Daliana ; Queiroz Feitosa, Raul ; Nigri Happ, Patrick ; Elena Cué La Rosa, Laura ; Marcato Junior, José ; Martins, José ; Olã Bressan, Patrik ; Gonçalves, Wesley Nunes ; Liesenberg, Veraldo

Sensors (Basel, Switzerland), 2020-01, Vol.20 (2), p.563 [Periódico revisado por pares]

Switzerland: MDPI AG

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