Add to ORKGConsider the following example of an accuracy assessment. Landsat data are used to build a thematic map of land cover for a multicounty region. The map classifier (e.g., a supervised classification algorithm) assigns each pixel into one category of land cover. The classification system includes 12 different types of for~st and land cover: black spruce
The use of remotely sensed data as input into geographical information systems has promoted new inte...
The remote sensing science and application communities have developed increasingly reliable, consist...
The purpose of the present study was to review, evaluate and explore methodologies in classifying re...
A review and update of the discrete multivariate analysis techniques used for accuracy assessment is...
Fonte, C. C., & Gonçalves, L. M. S. (2018). Identification of low accuracy regions in land cover map...
Statistical procedure to evaluate map accuracy is required to answer the user's doubt regarding reli...
Landcover classification of remotely sensed data has found many useful applications in industries su...
Before being used in scientific investigations and policy described. The objective of this article i...
Meaningful accuracy assessment is a sine qua non condition for the use of increasingly precise and a...
Today, validation or accuracy assessment is an integral component of most mapping projects incorpora...
oF Remotely-sensed digital data may potentially help natural found to provide critical information a...
A review and update of the discrete multivariate analysis techniques used for accuracy assessment is...
The error matrix is the most common way of expressing the accuracy of remote sensing image classific...
The technological developments in remote sensing (RS) during the past decade has contributed to a si...
The error matrix is the most common way of expressing the accuracy of remote sensing image classific...
The use of remotely sensed data as input into geographical information systems has promoted new inte...
The remote sensing science and application communities have developed increasingly reliable, consist...
The purpose of the present study was to review, evaluate and explore methodologies in classifying re...
A review and update of the discrete multivariate analysis techniques used for accuracy assessment is...
Fonte, C. C., & Gonçalves, L. M. S. (2018). Identification of low accuracy regions in land cover map...
Statistical procedure to evaluate map accuracy is required to answer the user's doubt regarding reli...
Landcover classification of remotely sensed data has found many useful applications in industries su...
Before being used in scientific investigations and policy described. The objective of this article i...
Meaningful accuracy assessment is a sine qua non condition for the use of increasingly precise and a...
Today, validation or accuracy assessment is an integral component of most mapping projects incorpora...
oF Remotely-sensed digital data may potentially help natural found to provide critical information a...
A review and update of the discrete multivariate analysis techniques used for accuracy assessment is...
The error matrix is the most common way of expressing the accuracy of remote sensing image classific...
The technological developments in remote sensing (RS) during the past decade has contributed to a si...
The error matrix is the most common way of expressing the accuracy of remote sensing image classific...
The use of remotely sensed data as input into geographical information systems has promoted new inte...
The remote sensing science and application communities have developed increasingly reliable, consist...
The purpose of the present study was to review, evaluate and explore methodologies in classifying re...