A novel crop classification method based on ppfSVM classifier with time-series alignment kernel from dual-polarization SAR datasets-Reference-Cited by-同舟云学术

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A novel crop classification method based on ppfSVM classifier with time-series alignment kernel from dual-polarization SAR datasets

Published:2021-10 Issue: Volume:264 Page:112628
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Gao Han,Wang Changcheng,Wang Guanya,Fu Haiqiang,Zhu Jianjun

Funder

European Space Agency

National Natural Science Foundation of China

Hunan Provincial Innovation Foundation for Postgraduate

Fundamental Research Funds for Central Universities of the Central South University

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference55 articles.

1. Polarimetric analysis of dual polarimetric SAR imagery;Ainsworth,2008

2. Theoretical characterization of X-Band multiincidence angle and multipolarimetric SAR data from rice paddies at late vegetative stage;Arii;IEEE Trans. Geosci. Remote Sens.,2017

3. Sensitivity analysis of multifrequency MIMP SAR data from rice paddies;Arii;IEEE Trans. Geosci. Remote Sens.,2019

4. Dynamic time warping and the (windowed) dog-keeper distance;Bachmann,2017

5. Multitemporal ERS-1 SAR data for crop classification: a sequential-masking approach;Ban;Can. J. Remote. Sens.,1999

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