Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Kunyu Lai"'
Autor:
Qinxin Zhao, Qinghua Xie, Xing Peng, Kunyu Lai, Jinfei Wang, Haiqiang Fu, Jianjun Zhu, Yang Song
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 6875-6893 (2024)
This study investigates the application of coherence and backscattering, derived from time-series Sentinel-1 synthetic aperture radar imagery of a crop season (18 scenes with a 12-day revisit cycle), for crop growth monitoring and classification in t
Externí odkaz:
https://doaj.org/article/cbc3bf733e064fd0b09e02d3b895a5b2
Autor:
Qinghua Xie, Kunyu Lai, Jinfei Wang, Juan M. Lopez-Sanchez, Jiali Shang, Chunhua Liao, Jianjun Zhu, Haiqiang Fu, Xing Peng
Publikováno v:
Remote Sensing, Vol 13, Iss 7, p 1394 (2021)
Multitemporal polarimetric synthetic aperture radar (PolSAR) has proven as a very effective technique in agricultural monitoring and crop classification. This study presents a comprehensive evaluation of crop monitoring and classification over an agr
Externí odkaz:
https://doaj.org/article/5c1956e8490f4f658e0e0b37d7e2b2eb
Publikováno v:
2021 SAR in Big Data Era (BIGSARDATA).
Polarimetric Synthetic Aperture Radar (PolSAR) is sensitive to vegetation shape and structure, hence it has been frequently used in crop type identification. Many experimental studies in previous literature proved that increasing the number of tempor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e63700253d2a245507f53e1ebc7b1e1b
https://doi.org/10.1109/bigsardata53212.2021.9574407
https://doi.org/10.1109/bigsardata53212.2021.9574407