Zobrazeno 1 - 10
of 3 343
pro vyhledávání: '"polarimetric SAR"'
Publikováno v:
Discover Geoscience, Vol 2, Iss 1, Pp 1-16 (2024)
Abstract A substantial variation in the land cover dynamics has been observed as a consequence of increasing urban expansion. Polarimetric synthetic aperture radar (PolSAR) data is widely being used for land cover studies in urban areas due to its al
Externí odkaz:
https://doaj.org/article/5ab130963863489784a5dab8dad8ba02
Autor:
Yin Zhang, Ding-Feng Duan
Publikováno v:
Journal of Electronic Science and Technology, Vol 22, Iss 3, Pp 100263- (2024)
We estimate tree heights using polarimetric interferometric synthetic aperture radar (PolInSAR) data constructed by the dual-polarization (dual-pol) SAR data and random volume over the ground (RVoG) model. Considering the Sentinel-1 SAR dual-pol (SVV
Externí odkaz:
https://doaj.org/article/2ce2f14ba5d943698cb36733d453b586
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 131, Iss , Pp 103978- (2024)
To detect historical cumulative changes in land cover, this study introduces a novel time series PolSAR change detection method. The objective is to address the inefficiency of traditional detection methods that use multiple pairwise comparisons, as
Externí odkaz:
https://doaj.org/article/5ce2e288dbf34030bea2691062802939
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 9797-9810 (2024)
The multitemporal polarimetric SAR (PolSAR) data contains the scattering change information during the growth of crops. However, the current classification methods usually directly use the addition of features extracted at single-temporal or use the
Externí odkaz:
https://doaj.org/article/531342485c354b7e9a93480a1809b8e2
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 5317-5331 (2024)
Semantic segmentation is an essential task in polarimetric synthetic aperture radar (PolSAR) image interpretation. To address the issue of insufficient measurement ability of single-view similarity, an unsupervised semantic segmentation method for Po
Externí odkaz:
https://doaj.org/article/245fde4e4b3b4c07a5792016ba7f9899
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 2939-2949 (2024)
Internal solitary waves (ISWs) resonate with meter-scale surface waves, which causes crests to overturn and waves to break strongly, generating many whitecaps. We analyze the polarized SAR characteristics of ISWs based on nonpolarized scattering theo
Externí odkaz:
https://doaj.org/article/2b21853c1f8e4c05a128aeef664c2723
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 130, Iss , Pp 103914- (2024)
Remote sensing monitoring of oil spills is essential for ecological and environmental management. Polarimetric synthetic aperture radar (PolSAR) data have been extensively utilized for oil spill detection owing to the advantages of multi-polarization
Externí odkaz:
https://doaj.org/article/ce12a6bc728047b6835e38987e8a1424
Publikováno v:
Remote Sensing, Vol 16, Iss 15, p 2858 (2024)
Change detection using SAR data has been an active topic in various applications. Because conventional change detection identifies signal changes in single-pol radar observations, they cannot separately detect different kinds of change associated wit
Externí odkaz:
https://doaj.org/article/aa8136360b0c414aa8e7ff82ede55e36
Autor:
Rubing Liang, Keren Dai, Qiang Xu, Saeid Pirasteh, Zhenhong Li, Tao Li, Ningling Wen, Jin Deng, Xuanmei Fan
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 127, Iss , Pp 103657- (2024)
On August 8, 2017, a magnitude 7.0 earthquake struck Jiuzhaigou County in Sichuan Province, triggering numerous coseismic landslides. The prompt identification of these landslides is imperative for emergency rescue efforts and post-earthquake hazard
Externí odkaz:
https://doaj.org/article/67b329da916043ff91804eaa02134d75
Publikováno v:
Remote Sensing, Vol 16, Iss 10, p 1659 (2024)
Large-scale crop phenology monitoring is critical for agronomic planning and yield prediction applications. Synthetic Aperture Radar (SAR) remote sensing is well-suited for crop growth monitoring due to its nearly all-weather observation capability.
Externí odkaz:
https://doaj.org/article/d4c9a4504b5840829d40860cd60d4eed