Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Olga Rajadell"'
Publikováno v:
Repositori Universitat Jaume I
Universitat Jaume I
Universitat Jaume I
An unsupervised method for selecting training data is suggested here. The method is tested by applying it to hyperspectral land-use classification. The data set is reduced using an unsupervised band selection method and then clustered with a nonparam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74c0555476c67001e46d5a1245db2adc
https://doi.org/10.1109/lgrs.2013.2273983
https://doi.org/10.1109/lgrs.2013.2273983
Publikováno v:
Repositori Universitat Jaume I
Universitat Jaume I
Universitat Jaume I
This paper presents a spectral-spatial pixel characterization method for hyperspectral images. The characterization is based on textural features obtained using Gabor filters over a selected set of spectral bands. This scheme aims at improving land-u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a87d0ac149c033705ac7af3d3e2494b
https://doi.org/10.1109/lgrs.2012.2226426
https://doi.org/10.1109/lgrs.2012.2226426
Autor:
Pedro García-Sevilla, Olga Rajadell
Publikováno v:
Pattern Recognition-Applications and Methods ISBN: 9783642365294
Different scenarios can be found in land classification and segmentation of satellite images. First, when prior knowledge is available, the training data is generally selected by randomly picking samples within classes. When no prior knowledge is ava
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f66a7c116a4583de4abde73456095c61
https://doi.org/10.1007/978-3-642-36530-0_15
https://doi.org/10.1007/978-3-642-36530-0_15
Autor:
Olga Rajadell Rojas, Gertjan J. Burghouts, Adam W. M. van Eekeren, Klamer Schutte, Judith Dijk
Publikováno v:
Kamerman, G.W.et al, Electro-Optical Remote Sensing, Photonic Technologies, and Applications VII; and Military Applications in Hyperspectral Imaging and High Spatial Resolution Sensing, 23 September 2013, Dresden, Germany
Surveillance and reconnaissance tasks are currently often performed using an airborne platform such as a UAV. The airborne platform can carry different sensors. EO/IR cameras can be used to view a certain area from above. To support the task from the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d187cd4aacd942a4079168869ad9d346
http://resolver.tudelft.nl/uuid:80fe34fa-541b-425f-8410-c762934bdbf1
http://resolver.tudelft.nl/uuid:80fe34fa-541b-425f-8410-c762934bdbf1
Publikováno v:
SPIE Proceedings.
One of the problems in semi-supervised land classification tasks lies in improving classification results without increasing the number of pixels to be labeled. This would be possible if, instead of increasing the amount of data we increased the reli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f578ee594b93d15d8a98f14442f7f6c8
https://doi.org/10.1117/12.898013
https://doi.org/10.1117/12.898013
Publikováno v:
WHISPERS
A semi-supervised pixel classification scheme for hyperspectral satellite images is presented. The scheme includes a previous band selection step followed by a clustering process to select modes of interest that will be labeled by an expert. Then pix
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::838ceb4eedd2730abcb2a3343e2c1233
https://doi.org/10.1109/whispers.2011.6080905
https://doi.org/10.1109/whispers.2011.6080905
Publikováno v:
Pattern Recognition and Image Analysis ISBN: 9783642212567
IbPRIA
IbPRIA
Land-use classification for hyper-spectral satellite images requires a previous step of pixel characterization. In the easiest case, each pixel is characterized by its spectral curve. The improvement of the spectral and spatial resolution in hyper-sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8581eec79776b547d2952a2ea3f23c7
https://doi.org/10.1007/978-3-642-21257-4_57
https://doi.org/10.1007/978-3-642-21257-4_57
Publikováno v:
Pattern Recognition and Image Analysis ISBN: 9783642021718
IbPRIA
IbPRIA
Hyperspectral remote sensing provides data in large amounts from a wide range of wavelengths in the spectrum and the possibility of distinguish subtle differences in the image. For this reason, the process of band selection to reduce redundant inform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bffdf2d77ccceb8c280595ff9cee13ef
https://doi.org/10.1007/978-3-642-02172-5_28
https://doi.org/10.1007/978-3-642-02172-5_28
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783642102677
CIARP
CIARP
Satellite hyperspectral imaging deals with heterogenous images containing different texture areas. Filter banks are frequently used to characterize textures in the image performing pixel classification. This filters are designed using different scale
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dafe3fc7e30356838e3f4c56f2cdeec7
https://doi.org/10.1007/978-3-642-10268-4_121
https://doi.org/10.1007/978-3-642-10268-4_121
Publikováno v:
Advances in Visual Computing ISBN: 9783642105197
ISVC (2)
ISVC (2)
We present a study of the contribution of the different scales used by several feature extraction methods based on filter banks for color texture classification. Filter banks used for textural characterization purposes are usually designed using diff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5268fa45f2706941a1821914c2fe078