Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Fanghong Xiao"'
Publikováno v:
Remote Sensing, Vol 14, Iss 12, p 2870 (2022)
Low-grade roads have complex features such as geometry, reflection spectrum, and spatial topology in remotely sensing optical images due to the different materials of those roads and also because they are easily obscured by vegetation or buildings, w
Externí odkaz:
https://doaj.org/article/e609ae45cbc04ab0936bfd1528fae743
Publikováno v:
Remote Sensing, Vol 14, Iss 9, p 2074 (2022)
Road centerline extraction is the foundation for integrating the segmented road map from a remote sensing image into a geographic information system (GIS) database. Considering that existing approaches tend to have a decline in performance for center
Externí odkaz:
https://doaj.org/article/27f3dc36001646dc8d4c945d4a1a3752
Publikováno v:
Remote Sensing, Vol 11, Iss 23, p 2733 (2019)
Roads are an important recognition target in synthetic aperture radar (SAR) image interpretation. Although a considerable number of high-quality SAR images are now available, the method of road extraction is lagging. To extract the road network with
Externí odkaz:
https://doaj.org/article/e1b63f34c22f4d4c8fdf16635303462a
Publikováno v:
IGARSS
This paper proposes a semi-empirical microwave model of methane emissions (CH4) based on the biogeochemical processes from rice paddy. By exploiting the mechanism processes of methane production, oxidation and emission, a combined microwave model is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00e7989cbde97022c02b9ade7782cd67
https://doi.org/10.1109/igarss39084.2020.9323476
https://doi.org/10.1109/igarss39084.2020.9323476
Publikováno v:
IGARSS
Due to different imaging mechanisms, the registration of optical and Synthetic Aperture Radar (SAR) image is a very challenging task. Many optical and SAR registration methods have been proposed. But most of them are for low-to-medium resolution imag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77df3e5f2336cda45b2603173de95e49
https://doi.org/10.1109/igarss39084.2020.9323224
https://doi.org/10.1109/igarss39084.2020.9323224
Autor:
Ling Tong, Fanghong Xiao
Publikováno v:
IGARSS
This paper introduces a method of road extraction using dual-temporal high-resolution synthetic aperture radar (SAR) images. Firstly, multiplicative Duda operators are applied to detect line features. Then, coherence and backscattering coefficient ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6328e03e559430e86c3487391ba705c4
https://doi.org/10.1109/igarss.2019.8900511
https://doi.org/10.1109/igarss.2019.8900511
Publikováno v:
IGARSS
In order to study the coherence characteristics of low-backscattering objects such as roads and rivers, we introduce a coherence estimation approach based on clustering method. When the approach is applied to multi-temporal high-resolution TerraSAR-X
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2c6a53b92b001dbc76a0c82504ba8f0
https://doi.org/10.1109/igarss.2017.8127097
https://doi.org/10.1109/igarss.2017.8127097
Publikováno v:
IGARSS
This paper reports on an experiment conducted at the wind-wave tank in UESTC microwave chamber to characterize the C- and X-band radar return from water surfaces covering oil films when observed at different incidences. The measurements of Normalized
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::951c5879b29f92519220694600e8e301
https://doi.org/10.1109/igarss.2017.8127732
https://doi.org/10.1109/igarss.2017.8127732
Publikováno v:
IGARSS
In this paper, a method for road detection based on Duda and path operators has been presented. The roads are represented as slender dark regions with constant width and reflectance in the high-resolution SAR images. The path operators (path openings
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac9ad9837d35186eee4ed877923bb551
https://doi.org/10.1109/igarss.2016.7729321
https://doi.org/10.1109/igarss.2016.7729321