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Decker, Kevin, Borghetti, Brett (2022) Composite Style Pixel and Point Convolution-Based Deep Fusion Neural Network Architecture for the Semantic Segmentation of Hyperspectral and Lidar Data. Remote Sensing, 14 (9). doi:10.3390/rs14092113

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Reference TypeJournal (article/letter/editorial)
TitleComposite Style Pixel and Point Convolution-Based Deep Fusion Neural Network Architecture for the Semantic Segmentation of Hyperspectral and Lidar Data
JournalRemote Sensing
AuthorsDecker, KevinAuthor
Borghetti, BrettAuthor
Year2022 (April 28)Volume14
Issue9
PublisherMDPI AG
DOIdoi:10.3390/rs14092113Search in ResearchGate
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Mindat Ref. ID17784865Long-form Identifiermindat:1:5:17784865:2
GUID0
Full ReferenceDecker, Kevin, Borghetti, Brett (2022) Composite Style Pixel and Point Convolution-Based Deep Fusion Neural Network Architecture for the Semantic Segmentation of Hyperspectral and Lidar Data. Remote Sensing, 14 (9). doi:10.3390/rs14092113
Plain TextDecker, Kevin, Borghetti, Brett (2022) Composite Style Pixel and Point Convolution-Based Deep Fusion Neural Network Architecture for the Semantic Segmentation of Hyperspectral and Lidar Data. Remote Sensing, 14 (9). doi:10.3390/rs14092113
In(2022, April) Remote Sensing Vol. 14 (9). MDPI AG

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Decker, Kevin T., Borghetti, Brett J. (2023) Hyperspectral Point Cloud Projection for the Semantic Segmentation of Multimodal Hyperspectral and Lidar Data with Point Convolution-Based Deep Fusion Neural Networks. Applied Sciences, 13 (14) MDPI AG. 8210 doi:10.3390/app13148210
Ouyang, Song, Li, Yansheng (2020) Combining Deep Semantic Segmentation Network and Graph Convolutional Neural Network for Semantic Segmentation of Remote Sensing Imagery. Remote Sensing, 13 (1). doi:10.3390/rs13010119
Poliyapram, Vinayaraj, Wang, Weimin, Nakamura, Ryosuke (2019) A Point-Wise LiDAR and Image Multimodal Fusion Network (PMNet) for Aerial Point Cloud 3D Semantic Segmentation. Remote Sensing, 11 (24). doi:10.3390/rs11242961
Sun, Yangjie, Fu, Zhongliang, Sun, Chuanxia, Hu, Yinglei, Zhang, Shengyuan (2022) Deep Multimodal Fusion Network for Semantic Segmentation Using Remote Sensing Image and LiDAR Data. IEEE Transactions on Geoscience and Remote Sensing, 60. 1-18 doi:10.1109/tgrs.2021.3108352
Li, Yunsong, Ge, Chiru, Sun, Weiwei, Peng, Jiangtao, Du, Qian, Wang, Keyan (2019) Hyperspectral and LiDAR Data Fusion Classification Using Superpixel Segmentation-Based Local Pixel Neighborhood Preserving Embedding. Remote Sensing, 11 (5). doi:10.3390/rs11050550
Zhang, Qi, Peng, Yuanxi, Zhang, Zhiwen, Li, Teng (2023) Semantic Segmentation of Spectral LiDAR Point Clouds Based on Neural Architecture Search. IEEE Transactions on Geoscience and Remote Sensing, 61. 1-11 doi:10.1109/tgrs.2023.3284995
Chen, Jun, Chen, Yiping, Wang, Cheng (2023) Feature Graph Convolution Network With Attentive Fusion for Large-Scale Point Clouds Semantic Segmentation. IEEE Geoscience and Remote Sensing Letters, 20. 1-5 doi:10.1109/lgrs.2023.3303399
Zheng, Yalan, Yang, Mengyuan, Wang, Min, Qian, Xiaojun, Yang, Rui, Zhang, Xin, Dong, Wen (2022) Semi-Supervised Adversarial Semantic Segmentation Network Using Transformer and Multiscale Convolution for High-Resolution Remote Sensing Imagery. Remote Sensing, 14 (8). doi:10.3390/rs14081786
Ma, Zhongtian, Jiang, Zhiguo, Zhang, Haopeng (2022) Hyperspectral Image Classification Using Feature Fusion Hypergraph Convolution Neural Network. IEEE Transactions on Geoscience and Remote Sensing, 60. 1-14 doi:10.1109/tgrs.2021.3123423
Diao, Qi, Dai, Yaping, Zhang, Ce, Wu, Yan, Feng, Xiaoxue, Pan, Feng (2022) Superpixel-Based Attention Graph Neural Network for Semantic Segmentation in Aerial Images. Remote Sensing, 14 (2). doi:10.3390/rs14020305
Donini, Elena, Bovolo, Francesca, Bruzzone, Lorenzo (2022) A Deep Learning Architecture for Semantic Segmentation of Radar Sounder Data. IEEE Transactions on Geoscience and Remote Sensing, 60. 1-14 doi:10.1109/tgrs.2021.3125773
 
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