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Land Use Classification of the Deep Convolutional Neural Network Method Reducing the Loss of Spatial Features.

X. Yao, H. Yang, Y. Wu, P. Wu, B. Wang, X. Zhou, and S. Wang. Sensors, 19 (12): 2792 (2019)

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Jinglan Wu

Recovery of citric acid from fermentation broth using simulated moving bed technology: = Reinigung von Zitronensäure aus Fermentationslösung durch kontinuierliche ChromatographieJ. Wu. Uni Erlangen-Nürnberg, (2009)

Yinghua Wu

Jinjin Wu

Changzhu Wu

Haiyan Wu

Other publications of authors with the same name

SAR Image Despeckling by Noisy Reference-Based Deep Learning Method.X. Ma, C. Wang, Z. Yin, and P. Wu. IEEE Trans. Geosci. Remote. Sens., 58 (12): 8807-8818 (2020)Oil Spill Detection Based on Deep Convolutional Neural Networks Using Polarimetric Scattering Information From Sentinel-1 SAR Images.X. Ma, J. Xu, P. Wu, and P. Kong. IEEE Trans. Geosci. Remote. Sens., (2022)Cloud-covered MODIS LST reconstruction by combining assimilation data and remote sensing data through a nonlocality-reinforced network.Y. Gong, H. Li, H. Shen, C. Meng, and P. Wu. Int. J. Appl. Earth Obs. Geoinformation, (March 2023)A Framework to Calculate Annual Landscape Ecological Risk Index Based on Land Use/Land Cover Changes: A Case Study on Shengjin Lake Wetland.P. Wu, W. Zhan, N. Cheng, H. Yang, and Y. Wu. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)A Deep Learning Method of Water Body Extraction From High Resolution Remote Sensing Images With Multisensors.M. Li, P. Wu, B. Wang, H. Park, H. Yang, and Y. Wu. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)Restoring Aqua MODIS band 6 by other spectral bands using compressed sensing theory.X. Li, H. Shen, C. Zeng, and P. Wu. WHISPERS, page 1-4. IEEE, (2012)Automatic Road Extraction from High-Resolution Remote Sensing Images Using a Method Based on Densely Connected Spatial Feature-Enhanced Pyramid.Q. Wu, F. Luo, P. Wu, B. Wang, H. Yang, and Y. Wu. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)Spatiotemporal Reconstruction of Land Surface Temperature Derived From FengYun Geostationary Satellite Data.Z. Liu, P. Wu, S. Duan, W. Zhan, X. Ma, and Y. Wu. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 10 (10): 4531-4543 (2017)Multiple Classifiers Based Semi-Supervised Polarimetric SAR Image Classification Method.L. Zhu, X. Ma, P. Wu, and J. Xu. Sensors, 21 (9): 3006 (2021)Water area annual variations of nine plateau lakes in Yunnan province, China: A brief spatiotemporal analysis with landsat time series.P. Wu, N. Cai, Q. Chen, C. Jiang, Y. Wu, and J. Li. IGARSS, page 6233-6236. IEEE, (2016)

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Disambiguation of "Wu, Penghai"

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Land Use Classification of the Deep Convolutional Neural Network Method Reducing the Loss of Spatial Features.

Please choose a person to relate this publication to

Jinglan Wu

Yinghua Wu

Jinjin Wu

Changzhu Wu

Haiyan Wu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Wu, Penghai"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Land Use Classification of the Deep Convolutional Neural Network Method Reducing the Loss of Spatial Features.

Please choose a person to relate this publication to

Jinglan Wu

Yinghua Wu

Jinjin Wu

Changzhu Wu

Haiyan Wu

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Land Use Classification of the Deep Convolutional Neural Network Method Reducing the Loss of Spatial Features.