Zobrazeno 1 - 10
of 13
pro vyhledávání: '"D Synthiya Vinothini"'
Autor:
D. Synthiya Vinothini, B. Sathya Bama
Publikováno v:
IEEE Sensors Journal. 19:12279-12285
Pan-sharpening is a multi-sensor fusion task that aims to enhance the spatial resolution of spectral data using panchromatic data of the same scene. This work proposes a deep Residual Dense Model (RDM) for Pan-Sharpening (PS) of satellite data which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f7f4501e3f70d58b17ed3ae77916327
https://doi.org/10.1109/jsen.2019.2939844
https://doi.org/10.1109/jsen.2019.2939844
Autor:
D. Synthiya Vinothini, B. Sathya Bama
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811602887
Single image super resolution plays a vital role in satellite image processing as the observed satellite image generally has low resolution due to the bottleneck in imaging sensor equipment and the communication bandwidth. Deep learning provides a be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bcd983520045c75c4fd265293b16ab44
https://doi.org/10.1007/978-981-16-0289-4_31
https://doi.org/10.1007/978-981-16-0289-4_31
Autor:
Boaz Arad, Radu Timofte, Ohad Ben-Shahar, Yi-Tun Lin, Graham Finlayson, Shai Givati, Jiaojiao Li, Chaoxiong Wu, Rui Song, Yunsong Li, Fei Liu, Zhiqiang Lang, Wei Wei, Lei Zhang, Jiangtao Nie, Yuzhi Zhao, Lai-Man Po, Qiong Yan, Wei Liu, Tingyu Lin, Youngjung Kim, Changyeop Shin, Kyeongha Rho, Sungho Kim, Zhiyu ZHU, Junhui HOU, He Sun, Jinchang Ren, Zhenyu Fang, Yijun Yan, Hao Peng, Xiaomei Chen, Jie Zhao, Tarek Stiebel, Simon Koppers, Dorit Merhof, Honey Gupta, Kaushik Mitra, Biebele Joslyn Fubara, Mohamed Sedky, Dave Dyke, Atmadeep Banerjee, Akash Palrecha, Sabarinathan sabarinathan, K Uma, D Synthiya Vinothini, B Sathya Bama, S M Md Mansoor Roomi
Publikováno v:
CVPR Workshops
This paper reviews the second challenge on spectral reconstruction from RGB images, i.e., the recovery of whole- scene hyperspectral (HS) information from a 3-channel RGB image. As in the previous challenge, two tracks were provided: (i) a "Clean" tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e50ad478df948cdbebb174500d1606c8
https://strathprints.strath.ac.uk/77252/1/Arad_etal_IEEE_2020_NTIRE_2020_challenge_on_spectral_reconstruction_from_an_RGB.pdf
https://strathprints.strath.ac.uk/77252/1/Arad_etal_IEEE_2020_NTIRE_2020_challenge_on_spectral_reconstruction_from_an_RGB.pdf
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811586965
Super Resolution Mapping (SRM) is a land cover mapping method that generates land surface cover maps at fine spatial resolution from a coarse spatial resolution Remote Sensing (RS) image. Recently deep networks have shown impressive performance for i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cd9c809b62bf00b6e48b1be071f9188
https://doi.org/10.1007/978-981-15-8697-2_47
https://doi.org/10.1007/978-981-15-8697-2_47
Autor:
B. Sathya Bama, D. Synthiya Vinothini
Publikováno v:
Journal of the Indian Society of Remote Sensing. 46:2069-2079
This paper considers the pan-sharpening problem of the IRS satellite images from the perspective of vector sparse representation model using quaternion matrix analysis. It selects the sparse basis in quaternion space, which uniformly transforms the c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d9258dddaceaa0c78b93f6566e7c273
https://doi.org/10.1007/s12524-018-0878-8
https://doi.org/10.1007/s12524-018-0878-8
Publikováno v:
Computer Vision, Graphics, and Image Processing ISBN: 9783319681238
ICVGIP Workshops
ICVGIP Workshops
This paper proposes a super resolution mapping of trees pixel swapping method in Madurai city. Identifying and mapping the vegetation specifically trees is a significant issue in remote sensing applications where the lack of height information become
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6613e8eb897f0bfe88374a66e72deb92
https://doi.org/10.1007/978-3-319-68124-5_8
https://doi.org/10.1007/978-3-319-68124-5_8
Autor:
D. Synthiya Vinothini, H. Nisha Rachel Keziah, Lineeta Gloria, K. R. Shankar Kumar, Shanthini Pandiaraj
Publikováno v:
2011 3rd International Conference on Electronics Computer Technology.
The objective of this paper is to evaluate the effectiveness of complementary speech features extracted from a speaker for verification. Traditionally, speaker verification systems use a single feature for representing speaker-specific information. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3e21312ef92871c2f887f54ba7f5588
https://doi.org/10.1109/icectech.2011.5941763
https://doi.org/10.1109/icectech.2011.5941763
Autor:
H. Nisha Rachel Keziah, D. Synthiya Vinothini, K. R. Shankar Kumar, Shanthini Pandiaraj, Lineeta Gloria
Publikováno v:
2011 3rd International Conference on Electronics Computer Technology.
This paper presents the parameterization of speech based on amplitude and frequency modulation (AM-FM) model and its application to speaker identification. Speech parameterization is based on three different bandwidths. The speaker identification is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d04e2c4a4b094224610da46fd4fd520a
https://doi.org/10.1109/icectech.2011.5941762
https://doi.org/10.1109/icectech.2011.5941762
Akademický článek
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Akademický článek
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