Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Jingfa Zhang"'
Publikováno v:
Natural Hazards. 111:803-815
Interferometric synthetic aperture radar (InSAR) technology has the potential to reveal ground surface deformation at high temporal and spatial resolutions, and the InSAR image processing field is progressing toward big data analytics. In this era of
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 19, Pp 2827-2839 (2019)
The site amplification factor was usually considered to be scalar values, such as amplification of peak ground acceleration or peak ground velocity, or increments of seismic intensity in the earthquake early warning (EEW) system or seismic-intensity
Publikováno v:
International Journal of Remote Sensing. 40:6418-6443
Feature selection of very high-resolution (VHR) images is a key prerequisite for supervised classification. However, it is always difficult to acquire the features which have the highest correlatio...
Publikováno v:
Geodesy and Geodynamics, Vol 10, Iss 1, Pp 10-16 (2019)
Road vector database plays an important role in post-earthquake relief, rescue and reconstruction. However, due to data privacy policy, it is difficult for general users to obtain high-precision and complete vector data of road network. The OpenStree
Publikováno v:
European Journal of Remote Sensing, Vol 52, Iss 1, Pp 435-447 (2019)
Synthetic Aperture Radar (SAR) data are used to map affected urban areas after an earthquake generally exploiting change detection techniques. In this paper, a novel change detection approach is proposed for multitemporal (SAR) images. The approach i
Publikováno v:
Boletim de Ciências Geodésicas v.24 n.4 2018
Boletim de Ciências Geodésicas
Universidade Federal do Paraná (UFPR)
instacron:UFPR
Boletim de Ciências Geodésicas, Volume: 24, Issue: 4, Pages: 442-458, Published: DEC 2018
Boletim de Ciências Geodésicas
Universidade Federal do Paraná (UFPR)
instacron:UFPR
Boletim de Ciências Geodésicas, Volume: 24, Issue: 4, Pages: 442-458, Published: DEC 2018
The damage of buildings is the major cause of casualties of from earthquakes. The traditional pixel-based earthquake damaged building detection method is prone to be affected by speckle noise. In this paper, an object-based change detection method is
Publikováno v:
IGARSS
SAR remote sensing has shown its excellence in providing important information for damage mapping in a large area. SAR change detection is a fast and efficient way to identify damaged buildings by comparing post-seismic to pre-seismic images. When a
After an earthquake, efficiently and accurately acquiring information about damaged buildings can help reduce casualties. Earth observation data have been widely used to map affected areas after earthquakes. However, accurate post-earthquake assessme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fdf778ce664e0384d7a0ab2171bcb597
https://doi.org/10.5194/nhess-2019-20
https://doi.org/10.5194/nhess-2019-20
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 111:32-44
Repeat-pass Interferometric Synthetic Aperture Radar (InSAR) is a technique that can be used to generate DEMs. But the accuracy of InSAR is greatly limited by geometrical distortions, atmospheric effect, and decorrelations, particularly in mountainou
The information of seismic damage of buildings in SAR images of different time phase, especially in SAR images after earthquake, is easily disturbed by other factors, which affects the accuracy of information discrimination. In order to identify and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::077b8f45dcea283f3314d64a960b2a75