Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Azar Zafari"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 2842-2852 (2020)
Random forest (RF) is a popular ensemble learning method that is widely used for the analysis of remote sensing images. RF also has connections with the kernel-based method. Its tree-based structure can generate an RF kernel (RFK) that provides an al
Externí odkaz:
https://doaj.org/article/c686732a1b8d4870b09d66ecf802ec83
Publikováno v:
Remote Sensing, Vol 11, Iss 12, p 1489 (2019)
The authors wish to make the following correction to the paper [...]
Externí odkaz:
https://doaj.org/article/303853c8c17e4e85bcebdf4d3547e4fc
Publikováno v:
Remote Sensing, Vol 11, Iss 5, p 575 (2019)
The production of land cover maps through satellite image classification is a frequent task in remote sensing. Random Forest (RF) and Support Vector Machine (SVM) are the two most well-known and recurrently used methods for this task. In this paper,
Externí odkaz:
https://doaj.org/article/e9d4bfa4510445a5b2051ca619b15956
Publikováno v:
IEEE geoscience and remote sensing letters, 17(10), 1702-1706. IEEE
The classification of the ever-increasing collections of remotely sensed images is a key but challenging task. In this letter, we introduce the use of extremely randomized trees known as Extra-Trees (ET) to create a similarity kernel [ET kernel (ETK)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d96720aae0705cba7c9a817fb6282d55
https://doi.org/10.1109/lgrs.2019.2953778
https://doi.org/10.1109/lgrs.2019.2953778
Publikováno v:
Remote sensing, 11(5):575, 1-20. MDPI
Remote Sensing, Vol 11, Iss 5, p 575 (2019)
Remote Sensing
Volume 11
Issue 5
Pages: 575
Remote Sensing, Vol 11, Iss 5, p 575 (2019)
Remote Sensing
Volume 11
Issue 5
Pages: 575
The production of land cover maps through satellite image classification is a frequent task in remote sensing. Random Forest (RF) and Support Vector Machine (SVM) are the two most well-known and recurrently used methods for this task. In this paper,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc957612bdef111c4d6341c6c2754839
https://research.utwente.nl/en/publications/3a6964f4-8b87-4621-b2cc-c53b614ca7f9
https://research.utwente.nl/en/publications/3a6964f4-8b87-4621-b2cc-c53b614ca7f9
