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A Land Cover Classification Method for High-Resolution Remote Sensing Images Based on NDVI Deep Learning Fusion Network.

J. Zhao, L. Wang, H. Yang, P. Wu, B. Wang, C. Pan, and Y. Wu. Remote. Sens., 14 (21): 5455 (2022)

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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

A Fine PolSAR Terrain Classification Algorithm Using the Texture Feature Fusion-Based Improved Convolutional Autoencoder.J. Ai, F. Wang, Y. Mao, Q. Luo, B. Yao, H. Yan, M. Xing, and Y. Wu. IEEE Trans. Geosci. Remote. Sens., (2022)Water Body Automated Extraction in Polarization SAR Images With Dense-Coordinate-Feature-Concatenate Network.W. Xue, H. Yang, Y. Wu, P. Kong, H. Xu, P. Wu, and X. Ma. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2021)Reconstructing Geostationary Satellite Land Surface Temperature Imagery Based on a Multiscale Feature Connected Convolutional Neural Network.P. Wu, Z. Yin, H. Yang, Y. Wu, and X. Ma. Remote Sensing, 11 (3): 300 (2019)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)Multi-Feature Enhanced Building Change Detection Based on Semantic Information Guidance.J. Xue, H. Xu, H. Yang, B. Wang, P. Wu, J. Choi, L. Cai, and Y. Wu. Remote. Sens., 13 (20): 4171 (2021)Monitoring Seasonal and Diurnal Surface Urban Heat Islands Variations Using Landsat-Scale Data in Hefei, China, 2000-2017.Y. Lu, P. Wu, X. Ma, H. Yang, and Y. Wu. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2020)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)Recognition of Abnormal Individuals Based on Lightweight Deep Learning Using Aerial Images in Complex Forest Landscapes: A Case Study of Pine Wood Nematode.Z. Zhang, B. Wang, W. Chen, Y. Wu, J. Qin, P. Chen, H. Sun, and A. He. Remote. Sens., 15 (5): 1181 (March 2023)A Remote Sensing Method for Crop Mapping Based on Multiscale Neighborhood Feature Extraction.Y. Wu, Y. Wu, B. Wang, and H. Yang. Remote. Sens., 15 (1): 47 (January 2023)A Trilateral Filter for Video SAR Speckle Noise Reduction.J. Ai, G. Wang, G. Fan, F. Wang, L. Jia, Y. Wu, and E. Hou. IEEE Geosci. Remote. Sens. Lett., (2022)

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Disambiguation of "Wu, Yanlan"

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A Land Cover Classification Method for High-Resolution Remote Sensing Images Based on NDVI Deep Learning Fusion Network.

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, Yanlan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Land Cover Classification Method for High-Resolution Remote Sensing Images Based on NDVI Deep Learning Fusion Network.

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
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

A Land Cover Classification Method for High-Resolution Remote Sensing Images Based on NDVI Deep Learning Fusion Network.