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Dryland summer crop classification using multi-temporal RADARSAT-2 images and objects information from optical image.

S. Zhu, J. Zhang, G. Shuai, and H. Liu. IGARSS, page 1142-1145. IEEE, (2016)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Zhang Zhang

Meng Zhang

Methods and implementations of road-network matchingM. Zhang. TU München, (2009)

Xianghui Zhang

Jinle Zhang

Yue Zhang

Other publications of authors with the same name

Accuracy assessment of thematic classification based on point and polygon sampling units.X. Liu, C. He, Y. Pan, M. Yang, and J. Zhang. IGARSS, page 3837-3840. IEEE, (2005)Multiple-class Land Cover Mapping at the Sub-pixel Scale using an Innovated CA Model.C. Yi, Y. Pan, and J. Zhang. IGARSS, page 968-971. IEEE, (2006)An Integrated Approach to Agricultural Crop Classification Using SPOT5 HRV Images.C. Yi, Y. Pan, and J. Zhang. CCTA, volume 258 of IFIP Advances in Information and Communication Technology, page 677-684. Springer, (2007)Autumn crop identification using high-spatial-temporal resolution time series data generated by MODIS and Landsat remote sensing images.D. Xie, P. Sun, J. Zhang, X. Zhu, W. Wang, and Z. Yuan. IGARSS, page 2118-2121. IEEE, (2014)A Truthful FPTAS Auction for the Edge-Cloud Pricing Problem.Z. Shen, J. Zhang, and H. Tan. BigCom, page 140-144. IEEE, (2020)Crop distribution mapping using hard and soft change detection method with multi-temporal remote sensing images.S. Zhu, J. Zhang, W. Zhou, G. Shuai, W. Wang, and Y. Pan. IGARSS, page 3293-3296. IEEE, (2013)Time-Scale Transferring Deep Convolutional Neural Network for Mapping Early Rice.Y. Duan, J. Zhang, G. Shuai, S. Zhu, and X. Gu. IGARSS, page 1136-1139. IEEE, (2018)Mapping Highly Heterogeneous Impervious Surface in the Urban-Rural Fringe using Integrated Hard and Soft Classification from Incorporating Spectral and Texture Features.S. Zhu, J. Zhang, X. Gu, J. Yang, and B. Xian. IGARSS, page 6951-6954. IEEE, (2018)Transferable deep learning model based on the phenological matching principle for mapping crop extent.S. Ge, J. Zhang, Y. Pan, Z. Yang, and S. Zhu. Int. J. Appl. Earth Obs. Geoinformation, (2021)Develop Large-Area Autumn Crop Type Product Using a Deep Learning Strategy.Q. Xu, J. Zhang, F. Zhang, and S. Zhu. IGARSS, page 4673-4676. IEEE, (2020)

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Disambiguation of "Zhang, Jinshui"

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Dryland summer crop classification using multi-temporal RADARSAT-2 images and objects information from optical image.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Xianghui Zhang

Jinle Zhang

Yue Zhang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zhang, Jinshui"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Dryland summer crop classification using multi-temporal RADARSAT-2 images and objects information from optical image.

Please choose a person to relate this publication to

Zhang Zhang

Meng Zhang

Xianghui Zhang

Jinle Zhang

Yue Zhang

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
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Dryland summer crop classification using multi-temporal RADARSAT-2 images and objects information from optical image.