Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yexian Ren"'
Autor:
Yexian REN, Feng XU
Publikováno v:
Leida xuebao, Vol 11, Iss 1, Pp 71-82 (2022)
The tomographic technique has attracted much attention because of its ability to separate overlapping scatterers in urban Synthetic Aperture Radar (SAR) images. The general method of SAR Tomography (TomSAR) imaging combines the following two aspects:
Externí odkaz:
https://doaj.org/article/c37413e03fa841a7992af83bfa353f7d
Publikováno v:
Sensors, Vol 18, Iss 4, p 1194 (2018)
Super-resolution for satellite video attaches much significance to earth observation accuracy, and the special imaging and transmission conditions on the video satellite pose great challenges to this task. The existing deep convolutional neural-netwo
Externí odkaz:
https://doaj.org/article/ac55b28be905413c912b833aa0c98bfc
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 57:5923-5938
This paper presents a spherically invariant random vector (SIRV)-based dual-domain filter for polarimetric synthetic aperture radar (PolSAR) speckle suppression. The SIRV model is a simple clutter decomposition model designed for heterogeneous scenes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3f5a91f3641a74ac1164082cec32eb5
https://doi.org/10.1109/tgrs.2019.2903096
https://doi.org/10.1109/tgrs.2019.2903096
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 57:1265-1277
This paper presents a global weighted least-squares (GWLS) optimization framework for polarimetric synthetic aperture radar (PolSAR) despeckling. GWLS is simpler than other optimization methods because it does not lead to complex optimization and ite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3c31304399374eb917224081bf021d8
https://doi.org/10.1109/tgrs.2018.2865507
https://doi.org/10.1109/tgrs.2018.2865507
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 18, Iss 4, p 1194 (2018)
Sensors; Volume 18; Issue 4; Pages: 1194
Sensors, Vol 18, Iss 4, p 1194 (2018)
Sensors; Volume 18; Issue 4; Pages: 1194
Super-resolution for satellite video attaches much significance to earth observation accuracy, and the special imaging and transmission conditions on the video satellite pose great challenges to this task. The existing deep convolutional neural-netwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e97d0257b2eeb3c721470b2f4f1284f7
https://pubmed.ncbi.nlm.nih.gov/29652838
https://pubmed.ncbi.nlm.nih.gov/29652838