Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Qiushuang Yan"'
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 134, Iss , Pp 104195- (2024)
The wave spectrum describes the distribution of wave energy across frequency and direction. Obtaining wave spectrum information with high accuracy is of great value for oceanographic research and disaster prevention and reduction. Currently, wave spe
Externí odkaz:
https://doaj.org/article/477905a08b7a4966869f38ac96a7dda0
Publikováno v:
Earth and Space Science, Vol 11, Iss 7, Pp n/a-n/a (2024)
Abstract High‐precision observation of significant wave height (SWH) is crucial for marine research. The Surface Waves Investigation and Monitoring (SWIM) aboard the China France Oceanography Satellite (CFOSAT) provides the ocean wave spectrum that
Externí odkaz:
https://doaj.org/article/269b52ec04664651ad750876ea5cc8da
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 10938-10955 (2024)
This study presents an innovative approach for estimating the azimuth cutoff wavelength ($\lambda _{c}$) using a multipolarization combination technique to enhance the retrieval of significant wave height (SWH) and wind speed (WS) from Gaofen-3 (GF-3
Externí odkaz:
https://doaj.org/article/6c5f7d7c32624bf69491b8a794b46068
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 10013-10031 (2024)
Synthetic aperture radar (SAR) is widely used for observing sea surfaces and retrieving 2-D wave spectra. However, existing methods for retrieving directional wave spectra from SAR imagettes face challenges due to the complex nonlinear SAR-wave imagi
Externí odkaz:
https://doaj.org/article/ee43492adb444292824c71df6657003b
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 9582-9594 (2024)
The present study utilizes the backward propagation neural network (BPNN) and the dual-branch convolutional neural network (DB-CNN) algorithms to construct models for estimating significant wave height (SWH) from polarimetric Gaofen-3 SAR wave mode d
Externí odkaz:
https://doaj.org/article/c5b260c7ccfa46b8993b8d47853a951f
Publikováno v:
Earth and Space Science, Vol 11, Iss 5, Pp n/a-n/a (2024)
Abstract Global sea wave monitoring is of utmost importance for tasks such as analysis of ocean climate change, offshore fisheries, and early warning of marine disasters. Significant wave height (SWH) is one of the most vital and widely used metrics
Externí odkaz:
https://doaj.org/article/96cd1d87d9554ad6b2b73698c79c3623
Publikováno v:
Remote Sensing, Vol 15, Iss 23, p 5450 (2023)
In order to investigate the impact of utilizing multiple pieces of polarization information on the performance of significant wave height (SWH) estimation from Gaofen-3 SAR data, the extreme gradient boosting (XGBoost) models were developed, validate
Externí odkaz:
https://doaj.org/article/b6016f77d52a42acadbab304354924f3
Publikováno v:
Remote Sensing, Vol 15, Iss 8, p 2191 (2023)
Knowledge of the ocean backscatter at various azimuth angles is critical to the radar detection of the ocean environment. In this study, the modified two-scale model (TSM), which introduces a correction term in the conventional TSM, is improved based
Externí odkaz:
https://doaj.org/article/a52b0e8a6df14edd8319e43e8f880ff7
Publikováno v:
Remote Sensing, Vol 15, Iss 5, p 1469 (2023)
The image intensity of high-resolution synthetic aperture radar (SAR) is closely related to the facet scattering distribution. In this paper, the effects of wind wave spectra, non-Gaussianity of the sea surface, and swell on the distribution of the f
Externí odkaz:
https://doaj.org/article/fde69e00214548598a3dcd984c6d2ab8
Publikováno v:
Remote Sensing, Vol 15, Iss 1, p 149 (2022)
Empirical algorithms have become the mainstream of significant wave height (SWH) retrieval from synthetic aperture radar (SAR). But the plentiful features from multi-polarizations make the selection of input for the empirical model a problem. Therefo
Externí odkaz:
https://doaj.org/article/bd9c44986bba4476ae400e65946e4896