Zobrazeno 1 - 4
of 4
pro vyhledávání: '"María V. Alba-Fernández"'
Publikováno v:
Geoscience Data Journal, Vol 9, Iss 1, Pp 37-45 (2022)
Abstract The confusion matrix has long been adopted as the ‘de facto’ and ‘de jure’ standard method of reporting on the thematic accuracy assessment of any land surface geospatial dataset. This type of data supports decision‐making in many
Externí odkaz:
https://doaj.org/article/ad8cd25ed031409abbd51eeda0b8c3b5
Publikováno v:
Remote Sensing, Vol 12, Iss 5, p 816 (2020)
The goal of this work is to present a set of statistical tests that offer a formal procedure to make a decision as to whether a set of thematic quality specifications of a product is fulfilled within the philosophy of a quality control process. The t
Externí odkaz:
https://doaj.org/article/1f0217b4dd2a4f5dac8a2f9bbd0a390f
Publikováno v:
Applied Sciences, Vol 9, Iss 20, p 4240 (2019)
The error matrix has been adopted as both the “de facto” and the “de jure” standard way to report on the thematic accuracy assessment of any remotely sensed data product. This perspective assumes that the error matrix can be considered as a s
Externí odkaz:
https://doaj.org/article/41bebc0867904b95b580aa5594aad230
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 7, Iss 6, p 233 (2018)
The confusion matrix is the standard way to report on the thematic accuracy of geographic data (spatial databases, topographic maps, thematic maps, classified images, remote sensing products, etc.). Two widely adopted indices for the assessment of th
Externí odkaz:
https://doaj.org/article/47ace9a8738446d5b9e3962b068cbb7b