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Korekcja geometryczna a wyniki klasyfikacji zdjec wielospektralnych

100%

Osinska-Skotak K., Fijalkowska A.

Acta Scientiarum Polonorum. Geodesia et Descriptio Terrarum

2005

tom 04

nr 1

55-66

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Assessing the accuracy of the pixel-based algorithms in classifying the urban land use, using the multi spectral image of the IKONOS satellite (Case study, Uromia city)

100%

Safaralizade E., Husseinzade R., Pashazade G., Khosravi B.

International Letters of Natural Sciences

2014

tom 06

With the development of urbanization and expansion of urban land use, the need to up to date maps, has drawn the attention of the urban planners. With the advancement of the remote sensing technology and accessibility to images with high resolution powers, the classification of these land uses could be executed in different ways. In the current research, different algorithms for classifying the pixel-based were tested on the land use of the city of Urmia, using the multi spectral images of the IKONOS satellite. Here, in this method, the algorithms of the supervised classification of the maximum likelihood, minimum distance to mean and parallel piped were executed on seven land use classes. Results obtained using the error matrix indicated that the algorithm for classifying the maximum likelihood has an overall accuracy of 88/93 % and the Kappa coefficient of 0/86 while for the algorithms of minimum distance to mean and parallel piped , the overall accuracy are 05/79 % and 40/70 % respectively. Also, the accuracy of the producer and that of the user in most land use classes in the method of maximum likelihood are higher compared to the other algorithms.

Wykorzystanie pomiarow zdalnych do oceny wiosennego porazenia roslin przez choroby

80%

Nierobca A., Pudelko R., Kozyra J., Smagacz J., Mizak K.

Progress in Plant Protection

2007

tom 47

nr 4

189-192

Ograniczanie wyników

1 Acta Scientiarum Polonorum. Geodesia et Descriptio Terrarum

1 International Letters of Natural Sciences

1 Progress in Plant Protection

1 Fijalkowska A.

1 Husseinzade R.

1 Khosravi B.

1 Kozyra J.

1 Mizak K.

1 Nierobca A.

1 Osinska-Skotak K.

1 Pashazade G.

1 Pudelko R.

1 Safaralizade E.

1 Smagacz J.

1 2014

1 2007

1 2005

Wyniki wyszukiwania

Korekcja geometryczna a wyniki klasyfikacji zdjec wielospektralnych

Assessing the accuracy of the pixel-based algorithms in classifying the urban land use, using the multi spectral image of the IKONOS satellite (Case study, Uromia city)

Wykorzystanie pomiarow zdalnych do oceny wiosennego porazenia roslin przez choroby