Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Ran Tao"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 4684-4698 (2021)
Recently, graph-embedding framework has been developed for dimensionality reduction (DR) and classification of hyperspectral images (HSI). However, it suffers from intraclass difference and interclass similarity in complex scenarios. In this article,
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 6624-6638 (2021)
In cross-scene hyperspectral imagery (HSI) classification, labeled samples are only available in source scene, and how to properly reduce the spectral shift between source and target scenes is a matter of concern. In this article, we investigate this
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 58:7355-7370
Earth observation using multisensor data is drawing increasing attention. Fusing remotely sensed hyperspectral imagery and light detection and ranging (LiDAR) data helps to increase application performance. In this article, joint classification of hy
Autor:
Ran Tao, Xuejing Kang
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 29:1919-1932
To ensure the confidentiality of color images during their storage or transmission on insecure networks, a number of encryption methods based on fractional transforms have been proposed and widely investigated. However, most of their outputs are comp
Publikováno v:
IEEE journal of biomedical and health informatics. 25(8)
The traditional differential diagnosis of membranous nephropathy (MN) mainly relies on clinical symptoms, serological examination and optical renal biopsy. However, there is a probability of false positives in the optical inspection results, and it i
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation. 103:102461
Traditional hyperspectral target detection methods use spectral domain information for target recognition. Although it can effectively retain intrinsic characteristics of substances, targets in homogeneous regions still cannot be effectively recogniz
Publikováno v:
Remote Sensing
Volume 12
Issue 9
Pages: 1489
Remote Sensing, Vol 12, Iss 1489, p 1489 (2020)
Volume 12
Issue 9
Pages: 1489
Remote Sensing, Vol 12, Iss 1489, p 1489 (2020)
In recent years, deep learning has dramatically improved the cognitive ability of the network by extracting depth features, and has been successfully applied in the field of feature extraction and classification of hyperspectral images. However, it i
Publikováno v:
Pattern Recognition and Computer Vision ISBN: 9783030606381
PRCV (2)
PRCV (2)
With the increasing of the forest area and complexity of tree species, collaborative classification using multi-source remote sensing data has been drawn increasing attention. Fusion of hyperspectral and LiDAR data can improve to acquire a comprehens
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e65a41f5a9d5e305d368e7b1e7860aa3
https://doi.org/10.1007/978-3-030-60639-8_8
https://doi.org/10.1007/978-3-030-60639-8_8
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 13:1512-1516
© 2016 IEEE. A rotation parameter extraction method based on temporal differencing and image edge detection from range-Doppler images is presented in this letter. The proposed method first detects the motion trail of the moving pixels caused by the
Publikováno v:
Proceedings of the 2nd International Conference on Computer Application and System Modeling.
According to the analysis of the effect of the texture complexity on steganalysis, we propose a data hiding algorithm based on texture complexity and difference pixel value. Firstly, the image is decomposed into blocks, after which the texture comple