Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Charis Lanaras"'
Publikováno v:
Remote Sensing, Vol 9, Iss 11, p 1196 (2017)
Hyperspectral sensors capture a portion of the visible and near-infrared spectrum with many narrow spectral bands. This makes it possible to better discriminate objects based on their reflectance spectra and to derive more detailed object properties.
Externí odkaz:
https://doaj.org/article/a0fce911006a46ecbffbf3f92b694b7e
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 57:3501-3511
This paper implements a novel approach to automatically detect and classify rockfalls in Lunar Reconnaissance Orbiter narrow angle camera (NAC) images using a single-stage dense object detector (RetinaNet). The convolutional neural network has been t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6fff0eafcd5fbad8931d91684501043
https://doi.org/10.1109/tgrs.2018.2885280
https://doi.org/10.1109/tgrs.2018.2885280
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-3/W3, Pp 451-458 (2015)
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL (3/W3)
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL (3/W3)
In this work, we jointly process high spectral and high geometric resolution images and exploit their synergies to (a) generate a fused image of high spectral and geometric resolution; and (b) improve (linear) spectral unmixing of hyperspectral endme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d0d4635ed100bac7b9215c0043e3e72
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3-W3/451/2015/
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-3-W3/451/2015/
Autor:
Charis Lanaras, Konrad Schindler, Silvano Galliani, Jose M. Bioucas-Dias, Emmanuel P. Baltsavias
The Sentinel-2 satellite mission delivers multi-spectral imagery with 13 spectral bands, acquired at three different spatial resolutions. The aim of this research is to super-resolve the lower-resolution (20 m and 60 m Ground Sampling Distance - GSD)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce8663a03356255953ad72e3bdeec66c
Autor:
Boaz Arad, Dong Liu, Feng Wu, Charis Lanaras, Silvano Galliani, Konrad Schindler, Tarek Stiebel, Simon Koppers, Philipp Seltsam, Ruofan Zhou, Majed El Helou, Ohad Ben-Shahar, Fayez Lahoud, Marjan Shahpaski, Ke Zheng, Lianru Gao, Bing Zhang, Ximin Cui, Haoyang Yu, Yigit Baran Can, Aitor Alvarez-Gila, Joost van de Weijer, Radu Timofte, Estibaliz Garrote, Adrian Galdran, Manoj Sharma, Sriharsha Koundinya, Avinash Upadhyay, Raunak Manekar, Rudrabha Mukhopadhyay, Himanshu Sharma, Santanu Chaudhury, Koushik Nagasubramanian, Luc Van Gool, Sambuddha Ghosal, Asheesh K. Singh, Arti Singh, Baskar Ganapathysubramanian, Soumik Sarkar, Lei Zhang, Ming-Hsuan Yang, Zhiwei Xiong, Chang Chen, Zhan Shi
Publikováno v:
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
ISBN:978-1-5386-6100-0
ISBN:978-1-5386-6100-0
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f188b0528df64df0519a5aacfa92da3
Publikováno v:
CVPR Workshops
Some remote sensing sensors, acquire multispectral images of different spatial resolutions in variable spectral ranges (e.g. Sentinel-2, MODIS). The aim of this research is to infer all the spectral bands, of multiresolution sensors, in the highest a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fd58ba5f077bdfa22ea9f0996f40878
https://doi.org/10.1109/cvprw.2017.194
https://doi.org/10.1109/cvprw.2017.194
Publikováno v:
WHISPERS
To enhance the spatial resolution of hyperspectral data, additional multispectral images of higher resolution can be used. However, to combine the two data sources information about the sensors is needed. In this paper we derive a model to estimate t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce82a969205037f5324e20c17a34b175
https://doi.org/10.1109/whispers.2016.8071757
https://doi.org/10.1109/whispers.2016.8071757
Publikováno v:
ICCV
Hyperspectral cameras capture images with many narrow spectral channels, which densely sample the electromagnetic spectrum. The detailed spectral resolution is useful for many image analysis problems, but it comes at the cost of much lower spatial re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cefa203ecc20bb8fc2f697babc6ed51e
https://doi.org/10.1109/iccv.2015.409
https://doi.org/10.1109/iccv.2015.409