Laura Elena Cué La Rosa

Comparative performance of convolutional neural network, weighted and conventional support vector machine and random forest for classifying tree species using hyperspectral and photogrammetric data

Camile Söthe, Cláudia Maria de Almeida, Marcos Benedito Schimalski et al. · GIScience & Remote Sensing · 2020 · 172 citations · Full text

Computing, Computer Science, Forestry +17

Applying Fully Convolutional Architectures for Semantic Segmentation of a Single Tree Species in Urban Environment on High Resolution UAV Optical Imagery

Daliana Lobo Torres, Raul Queiroz Feitosa, Patrick Nigri Happ et al. · Sensors · 2020 · 129 citations · Full text

Computing, Computer Science, Computer Vision +16

Fully convolutional recurrent networks for multidate crop recognition from multitemporal image sequences

Jorge Andres Chamorro Martinez, Laura Elena Cué La Rosa, Raul Queiroz Feitosa et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 2020 · 93 citations

Computing, Precision Agriculture, Computer Vision +14

Deep learning-based individual tree crown delineation in mangrove forests using very-high-resolution satellite imagery

Guillaume Lassalle, Matheus Pinheiro Ferreira, Laura Elena Cué La Rosa et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 2022 · 85 citations · Full text

Natural Resources, Earth Sciences, Forestry +16

Advances in multi- and hyperspectral remote sensing of mangrove species: A synthesis and study case on airborne and multisource spaceborne imagery

Guillaume Lassalle, Matheus Pinheiro Ferreira, Laura Elena Cué La Rosa et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 2022 · 68 citations · Full text

Arts, Ecology, Forest Ecology +16