Zobrazeno 1 - 10
of 114
pro vyhledávání: '"M. Mokhtarzade"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W18, Pp 71-75 (2019)
Multiple classifier systems (MCSs) have shown great performance for the classification of hyperspectral images. The requirements for a successful MCS are 1) diversity between ensembles and 2) good classification accuracy of each ensemble. In this pap
Externí odkaz:
https://doaj.org/article/46b3ec66a4f0403fb628a4c848431306
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-4-W4, Pp 23-26 (2017)
Rational function models (RFMs) are known as one of the most appealing models which are extensively applied in geometric correction of satellite images and map production. Overfitting is a common issue, in the case of terrain dependent RFMs, that deg
Externí odkaz:
https://doaj.org/article/f7228fd32261448ab0348ce1c7910093
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B3, Pp 71-74 (2016)
Three dimensional models of urban areas play an important role in city planning, disaster management, city navigation and other applications. Reconstruction of 3D building models is still a challenging issue in 3D city modelling. Point clouds generat
Externí odkaz:
https://doaj.org/article/5e96521e00fa4cf1a224acb211999b47
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-1-W5, Pp 543-548 (2015)
Pan sharpening methods aim to produce a more informative image containing the positive aspects of both source images. However, the pan sharpening process usually introduces some spectral and spatial distortions in the resulting fused image. The amoun
Externí odkaz:
https://doaj.org/article/f2d05b108d664bab8d8ccf2ccb8d48ac
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-1/W3, Pp 345-349 (2013)
Object oriented analysis is widely used in interpretation of remote sensing images in comparison with pixel based approaches. A key step for achieving an acceptable classification result is meaningful image segmentation. Multi resolution segmentation
Externí odkaz:
https://doaj.org/article/cd0d3dc1ae7b497b8971fe62580a3097
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXIX-B1, Pp 281-284 (2012)
Rational Function Models (RFM) are one of the most considerable approaches for spatial information extraction from satellite images especially where there is no access to the sensor parameters. As there is no physical meaning for the terms of RFM, in
Externí odkaz:
https://doaj.org/article/1d1245695a514545b3259fa6ab491b7b
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol I-7, Pp 159-164 (2012)
Mixed pixels could be considered as a major source of uncertainty through classification process of satellite imagery. In this regard, the use of soft classifiers is often inevitable in order to increase the accuracy of land cover estimates. Although
Externí odkaz:
https://doaj.org/article/c9bb7586d00946c9a7b84c72b978c998
Autor:
B. A. Beirami, M. Mokhtarzade
Publikováno v:
International Journal of Engineering. 34
Nowadays, hyperspectral images (HIs) are widely used for land cover land use (LCLU) mapping. Hyperspectral sensors collect spectral data in numerous adjacent spectral bands, which are usually redundant. Hyperspectral data processing comes with import
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b2400ad0ec9d14a23b91bbd1eaefb26
https://doi.org/10.5829/ije.2021.34.06c.03
https://doi.org/10.5829/ije.2021.34.06c.03
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Akademický článek
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