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pro vyhledávání: '"Renbao Lian"'
Autor:
Renbao Lian, Liqin Huang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 1905-1916 (2020)
The road centerline extraction is the key step of the road network extraction and modeling. The hand-craft feature engineering in the traditional road extraction methods is unstable, which makes the extracted road centerline deviated from the road ce
Externí odkaz:
https://doaj.org/article/414fc2d7440a408fad221300d0f065da
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 5489-5507 (2020)
Road extraction from high-resolution remote sensing images is a challenging but hot research topic in the past decades. A large number of methods are invented to deal with this problem. This article provides a comprehensive review of these existing a
Externí odkaz:
https://doaj.org/article/b1fd79238dfd420a9bb857739129fbd4
Publikováno v:
Remote Sensing, Vol 14, Iss 22, p 5737 (2022)
Image dehazing is crucial for improving the advanced applications on remote sensing (RS) images. However, collecting paired RS images to train the deep neural networks (DNNs) is scarcely available, and the synthetic datasets may suffer from domain-sh
Externí odkaz:
https://doaj.org/article/b1c2b17027314625b5c66130606ab4e7
Weakly Supervised Road Segmentation in High-Resolution Remote Sensing Images Using Point Annotations
Autor:
Renbao Lian, Liqin Huang
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-13
Road segmentation methods based on deep neural networks have achieved great success in recent years, but creating accurate pixel-wise training labels is still a boring and expensive task, especially for large-scale high-resolution remote sensing imag
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 5489-5507 (2020)
Road extraction from high-resolution remote sensing images is a challenging but hot research topic in the past decades. A large number of methods are invented to deal with this problem. This article provides a comprehensive review of these existing a
Publikováno v:
IEEE/CAA Journal of Automatica Sinica. :1-7
How to characterize rock fissures/fractures is significant for the measurement and analysis in a lot rock engineering applications. A new method for characterizing rock fissure patterns is studied in this paper. It is constructed by combining 1-D fra
Publikováno v:
Advances in Smart Vehicular Technology, Transportation, Communication and Applications ISBN: 9783319707297
This paper proposes a seam carving algorithm based on saliency. This algorithm makes saliency detection to the source image. Images are classified according to the gray-scale of saliency detection. Adding different energy protection methods, it can p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57f6b971a813c74e5a03f4b02532548d
https://doi.org/10.1007/978-3-319-70730-3_34
https://doi.org/10.1007/978-3-319-70730-3_34