This paper describes a method to estimate confidence in classification model accuracy using a bootstrap approach.

Using this method, it was found that classification accuracy and confidence, while closely related, can be used in complementary ways to provide additional ...

Using this method, it was found that classification accuracy and confidence, while closely related, can be used in complementary ways to provide additional ...

A bootstrap method for assessing classification accuracy and confidence for agricultural land use mapping in Canada. https://doi.org/10.1016/j.jag.2013.12 ...

Using Earth Observation to Monitor Corn Growth in Eastern Canada. · A bootstrap method for assessing classification accuracy and confidence for agricultural land ...

A bootstrap method for assessing classification accuracy and confidence for agricultural land use mapping in Canada. C Champagne, H McNairn, B Daneshfar, J ...

A bootstrap method for assessing classification accuracy and confidence for agricultural land use mapping in Canada. International Journal of Applied Earth ...

This paper presents a multi-temporal classification method for automatic identification of different crops, especially tomato fields, using optical PlanetScope ...

Jun 8, 2024 · A bootstrap method for assessing classification accuracy and confidence for agricultural land use mapping in Canada. Article. Full-text ...

A bootstrap method for assessing classification accuracy and confidence for agricultural land use mapping in Canada. Annual space-based crop inventory for ...