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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLIII-B4-2020
https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-375-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-375-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
25 Aug 2020
| 25 Aug 2020
COLLABORATIVE Wi-Fi FINGERPRINTING INDOOR POSITIONING USING NEAR RELATION
Y. Wang
National Engineering Laboratory for Big Data System Computing Technology & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services & Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, P.R. China
W. Wang
National Engineering Laboratory for Big Data System Computing Technology & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services & Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, P.R. China
X. Li
National Engineering Laboratory for Big Data System Computing Technology & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services & Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, P.R. China
W. Zhang
National Engineering Laboratory for Big Data System Computing Technology & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services & Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, P.R. China
R. Guo
National Engineering Laboratory for Big Data System Computing Technology & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services & Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen, P.R. China
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-2024, 135–140, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-135-2024, https://doi.org/10.5194/isprs-archives-XLVIII-1-2024-135-2024, 2024
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Y. Deng, S. Tang, W. Wang, X. Li, and R. Guo
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-3-W1-2022, 37–43, https://doi.org/10.5194/isprs-archives-XLVI-3-W1-2022-37-2022, https://doi.org/10.5194/isprs-archives-XLVI-3-W1-2022-37-2022, 2022
X. M. Li, W. X. Wang, S. J. Tang, J. Z. Xia, Z. G. Zhao, Y. Li, Y. Zheng, and R. Z. Guo
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B4-2020, 477–483, https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-477-2020, https://doi.org/10.5194/isprs-archives-XLIII-B4-2020-477-2020, 2020
J. X. Wang, W. X. Wang, C. Y. Wang, H. Zhu, W. Y. He, and S. Y. Liu
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Abstr. Int. Cartogr. Assoc., 1, 395, https://doi.org/10.5194/ica-abs-1-395-2019, https://doi.org/10.5194/ica-abs-1-395-2019, 2019
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 697–701, https://doi.org/10.5194/isprs-archives-XLII-4-697-2018, https://doi.org/10.5194/isprs-archives-XLII-4-697-2018, 2018
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