Zobrazeno 1 - 5
of 5
pro vyhledávání: '"José E. Meroño"'
Publikováno v:
South African Journal of Science, Vol 111, Iss 1/2, Pp 1-9 (2015)
Nowadays, techniques in digital image processing make it possible to detect damage, such as moisture or biological changes, on the surfaces of historical buildings. Digital classification techniques can be used to identify damages in construction mat
Externí odkaz:
https://doaj.org/article/7442a0fd6afa4aa1ac261a3de8647cbe
Publikováno v:
South African Journal of Science, Vol 106, Iss 5/6 (2010)
The purpose of this study was to evaluate the usefulness of the spectral information of digital aerial sensors in determining land-cover classification using new digital techniques. The land covers that have been evaluated are the following, (1) bare
Externí odkaz:
https://doaj.org/article/18e806b4f8514851b99e046bdd1b353f
Publikováno v:
South African Journal of Science, Vol 111, Iss 1/2, Pp 1-9 (2015)
South African Journal of Science, Volume: 111, Issue: 1-2, Pages: 01-09, Published: FEB 2015
South African Journal of Science, Volume: 111, Issue: 1-2, Pages: 01-09, Published: FEB 2015
Nowadays, techniques in digital image processing make it possible to detect damage, such as moisture or biological changes, on the surfaces of historical buildings. Digital classification techniques can be used to identify damages in construction mat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e35d864f4f270aee73e4da673194c708
https://www.sajs.co.za/article/view/3515
https://www.sajs.co.za/article/view/3515
Publikováno v:
South African Journal of Science. 105
rays are projected upon the retina, and the brain tries to make sense of the world by means of interpreting the visual input pattern. The sensitivity and specificity with which the brain solves this computationally complex problem cannot yet be repli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0aa3411a6ecba8f889bab15d9930eaa0
https://doi.org/10.4102/sajs.v105i9/10.114
https://doi.org/10.4102/sajs.v105i9/10.114
Publikováno v:
Chilean journal of agricultural research. 69
The objective of this paper was the development of a methodology for the classificationof digital aerial images, which, with the aid of object-based classificationand the Normalized Difference Vegetation Index (NDVI), can quantify agricultural areas,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e86dfa5705ea5e8303808a2bebea4dc4
https://doi.org/10.4067/s0718-58392009000300013
https://doi.org/10.4067/s0718-58392009000300013