C. D. G. Neto

Warning models for coffee rust (Hemileia vastatrix Berkeley & Broome) by data mining techniques

C. A. A. Meira, L. Rodrigues, C. D. G. Neto, 2014 .

Effects of Image Fusion Methods on Sugarcane Classification with Landsat-8 Imagery

Leila Maria Garcia Fonseca, R. F. B. Marujo, H. N. Bendini, 2014 .

Detecting atlantic forest patches applying geobia and data mining techniques

Leila Maria Garcia Fonseca, T. Körting, C. D. G. Neto, 2016 .

Pattern Recognition and Remote Sensing techniques applied to Land Use and Land Cover mapping in the Brazilian Savannah

Thales Sehn Korting, Raian Vargas Maretto, Anderson Reis Soares, 2021, Pattern Recognit. Lett..

SEMANTIC SEGMENTATION OF BRAZILIAN SAVANNA VEGETATION USING HIGH SPATIAL RESOLUTION SATELLITE DATA AND U-NET

Leila Maria Garcia Fonseca, A. K. Neves, T. Körting, 2020 .

Hierarchical Classification of Brazilian Savanna Physiognomies Using Very High Spatial Resolution Image, Superpixel and Geobia

Leila Maria Garcia Fonseca, Thales Sehn Korting, Anderson Reis Soares, 2019, IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium.

Assessment of texture features for Brazilian savanna classification: a case study in Brasilia National Park

Leila Maria Garcia Fonseca, Thales Sehn Korting, Cesare Di Girolamo Neto, 2017, GEOINFO.