R. G. Lotte

Using the U‐net convolutional network to map forest types and disturbance in the Atlantic rainforest with very high resolution images

O. Phillips, L. Aragão, E. Gloor, 2019, Remote Sensing in Ecology and Conservation.

ROADS CENTRE-AXIS EXTRACTION IN AIRBORNE SAR IMAGES: AN APPROACH BASED ON ACTIVE CONTOUR MODEL WITH THE USE OF SEMI-AUTOMATIC SEEDING

C. Almeida, S. Sant’anna, R. G. Lotte, 2013 .

Land-cover classification of an intra-urban environment using high-resolution images and geographic object-based image analysis : the case of APA Mananciais do Rio Paraíba do Sul

T. Körting, A. Monteiro, S. Amaral, 2014 .

Daytime Ionospheric TEC Weather Study Over Latin America

H. Takahashi, C. Denardini, J. Gonzalez-Esparza, 2018, Journal of Geophysical Research: Space Physics.

Accurate mapping of Brazil nut trees (Bertholletia excelsa) in Amazonian forests using WorldView-3 satellite images and convolutional neural networks

Rodolfo G. Lotte, Matheus Pinheiro Ferreira, Adam R. Benjamin, 2021, Ecol. Informatics.

3D Façade Labeling over Complex Scenarios: A Case Study Using Convolutional Neural Network and Structure-From-Motion

Norbert Haala, Luiz Eduardo Oliveira E. Cruz de Aragão, Yosio Edemir Shimabukuro, 2018, Remote. Sens..

Object-based image analysis for urban land cover classification in the city of Campinas - SP, Brazil

Leila Maria Garcia Fonseca, Thales Sehn Korting, David G. M. Franca, 2015, 2015 Joint Urban Remote Sensing Event (JURSE).