Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Zhiding Yang"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 5207-5219 (2021)
In this article, the accuracy of wave direction and period estimation from X-band marine radar images under different rain rates is analyzed, and a simple subimage selection scheme is proposed to mitigate the rain effect. First, each radar image is d
Externí odkaz:
https://doaj.org/article/b009441e9f4e4e259b305784824e4773
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 11395-11405 (2021)
In this article, a temporal convolutional network (TCN)-based model is proposed to retrieve significant wave height ($H_s$) from X-band nautical radar images. Three types of features are first extracted from radar image sequences based on signal-to-n
Externí odkaz:
https://doaj.org/article/fab7438fd7534d46837baaaa5507f28a
Publikováno v:
IEEE Sensors Journal. 22:5929-5938
Sea Surface Wave Height Estimation and Improvement from Rain-Contaminated X-Band Nautical Radar Data
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Publikováno v:
OCEANS 2022 - Chennai.
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 11395-11405 (2021)
In this article, a temporal convolutional network (TCN)-based model is proposed to retrieve significant wave height ($H_s$) from X-band nautical radar images. Three types of features are first extracted from radar image sequences based on signal-to-n
Publikováno v:
IGARSS
In this paper, the accuracy of wave direction estimation from X-band marine radar images under different rain rates is analyzed, and a simple sub-image selection scheme is proposed to mitigate the rain effect. First, each radar image is divided into