Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Jujie Wei"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 1656-1669 (2025)
Sentinel-1 synthetic aperture radar (SAR) imagery, with its wide-swath imaging capabilities, provides crucial data for large-area interferometric SAR (InSAR) surface deformation monitoring. Precise image coregistration is essential but computationall
Externí odkaz:
https://doaj.org/article/83e41204efc4427d885645167d44054b
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 10266-10278 (2024)
The deep learning-based change detection (CD) methods have achieved remarkable progress with remote sensing imagery. These methods mainly rely on complex feature extraction structures and numerous attention mechanisms to realize effective feature ext
Externí odkaz:
https://doaj.org/article/7654b4c005c34177b15bda0cf6b0ef04
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 8679-8688 (2021)
Accurate prediction of ground subsidence is of great significance for the prevention and mitigation of this type of geological disaster. It is still a challenge when wide area is concerned. In this article, a heterogeneous long short-term memory (HLS
Externí odkaz:
https://doaj.org/article/df300f80ed134220a34beacdb1282bbc
Publikováno v:
Canadian Journal of Remote Sensing, Vol 46, Iss 3, Pp 272-294 (2020)
Large SAR images usually contain a variety of land-cover types and accordingly complicated change types, which cause great difficulty for accurate change detection. The U-Net is a special fully convolutional neural network that not only can capture m
Externí odkaz:
https://doaj.org/article/195db4136dba45f4a8d366c5a2ee4cdb
Publikováno v:
Canadian Journal of Remote Sensing, Vol 44, Iss 5, Pp 447-461 (2018)
The existing fire scar detection methods based on multi-temporal analysis only used the difference in either backscattering intensity or polarimetric characteristics between the pre- and post-fire PolSAR data to calculate the difference image (DI), a
Externí odkaz:
https://doaj.org/article/a0140c523c0c41d3976dddc95ac10916
Publikováno v:
Remote Sensing, Vol 12, Iss 6, p 944 (2020)
Oil spill detection plays an important role in marine environment protection. Quad-polarimetric Synthetic Aperture Radar (SAR) has been proved to have great potential for this task, and different SAR polarimetric features have the advantages to recog
Externí odkaz:
https://doaj.org/article/772d90f2e26246ea96a3d17727e5b2ea
Publikováno v:
Remote Sensing, Vol 11, Iss 11, p 1314 (2019)
As synthetic aperture radar (SAR) is playing an increasingly important role in Earth observations, many new methods and technologies have been proposed for change detection using multi-temporal SAR images. Especially with the development of deep lear
Externí odkaz:
https://doaj.org/article/d555145e84b949eeb9ee8f4da94eeda7
Publikováno v:
Remote Sensing, Vol 8, Iss 1, p 74 (2016)
Synthetic Aperture Radar (SAR) ship detection is an important maritime application. However, azimuth ambiguities caused by the finite sampling of the Doppler spectrum are often visible in SAR images and are always mistaken as ships by classic detecti
Externí odkaz:
https://doaj.org/article/764334ee2136491eb69f19a878020b76
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 8679-8688 (2021)
Accurate prediction of ground subsidence is of great significance for the prevention and mitigation of this type of geological disaster. It is still a challenge when wide area is concerned. In this article, a heterogeneous long short-term memory (HLS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77d3d99ad5e05721b1053ab88d8c5b2b
https://ieeexplore.ieee.org/document/9521743/
https://ieeexplore.ieee.org/document/9521743/