Search Results - "La Rosa, Laura Elena Cué"

Deep learning-based individual tree crown delineation in mangrove forests using very-high-resolution satellite imagery by Lassalle, Guillaume, Ferreira, Matheus Pinheiro, La Rosa, Laura Elena Cué, de Souza Filho, Carlos Roberto

“…Mangrove forests are vulnerable ecosystems that require broad-scale monitoring. Various solutions based on satellite imagery have emerged for this purpose but…”
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Fully convolutional recurrent networks for multidate crop recognition from multitemporal image sequences by Chamorro Martinez, Jorge Andres, Cué La Rosa, Laura Elena, Feitosa, Raul Queiroz, Sanches, Ieda Del’Arco, Happ, Patrick Nigri

“…[Display omitted] •A novel N-to-N recurrent network for pixel-wise crop labeling of image sequences.•It combines RNN, encoder-decoder architectures and prior…”
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Applying Fully Convolutional Architectures for Semantic Segmentation of a Single Tree Species in Urban Environment on High Resolution UAV Optical Imagery by Lobo Torres, Daliana, Queiroz Feitosa, Raul, Nigri Happ, Patrick, Elena Cué La Rosa, Laura, Marcato Junior, José, Martins, José, Olã Bressan, Patrik, Gonçalves, Wesley Nunes, Liesenberg, Veraldo

“…This study proposes and evaluates five deep fully convolutional networks (FCNs) for the semantic segmentation of a single tree species: SegNet, U-Net,…”
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Learning Crop-Type Mapping From Regional Label Proportions in Large-Scale SAR and Optical Imagery by Cue La Rosa, Laura Elena, Oliveira, Dario Augusto Borges, Ghamisi, Pedram

“…The application of deep learning (DL) algorithms to Earth observation (EO) in recent years has enabled substantial progress in fields that rely on remotely…”
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Contrastive Self-Supervised Learning for Globally Distributed Landslide Detection by Ghorbanzadeh, Omid, Shahabi, Hejar, Piralilou, Sepideh Tavakkoli, Crivellari, Alessandro, Rosa, Laura Elena Cue la, Atzberger, Clement, Li, Jonathan, Ghamisi, Pedram

“…The Remote Sensing (RS) field continuously grapples with the challenge of transforming satellite data into actionable information. This ongoing issue results…”
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Combining Deep Learning and Prior Knowledge for Crop Mapping in Tropical Regions from Multitemporal SAR Image Sequences by Cué La Rosa, Laura Elena, Queiroz Feitosa, Raul, Nigri Happ, Patrick, Del’Arco Sanches, Ieda, Ostwald Pedro da Costa, Gilson Alexandre

“…Accurate crop type identification and crop area estimation from remote sensing data in tropical regions are still considered challenging tasks. The more…”
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Advances in multi- and hyperspectral remote sensing of mangrove species: A synthesis and study case on airborne and multisource spaceborne imagery by Lassalle, Guillaume, Ferreira, Matheus Pinheiro, Cué La Rosa, Laura Elena, Del'Papa Moreira Scafutto, Rebecca, de Souza Filho, Carlos Roberto

“…This study summarizes the advances in mangrove species mapping based on multispectral and hyperspectral imagery achieved over the last decade. The influence of…”
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Deep learning-based tree species mapping in a highly diverse tropical urban setting by Martins, Gabriela Barbosa, La Rosa, Laura Elena Cué, Happ, Patrick Nigri, Filho, Luiz Carlos Teixeira Coelho, Santos, Celso Junius F., Feitosa, Raul Queiroz, Ferreira, Matheus Pinheiro

“…•We show a CNN-based approach to map urban tree species with aerial photographs.•We tested our approach in a highly diverse tropical urban setting.•We achieved…”
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Learning Geometric Features for Improving the Automatic Detection of Citrus Plantation Rows in UAV Images by Cue La Rosa, Laura Elena, Oliveira, Dario A. B., Zortea, Maciel, Holtz Gemignani, Bruno, Queiroz Feitosa, Raul

“…Unmanned aerial vehicles (UAVs) allow on-demand imaging of orchards at an unprecedented level of detail. The automated detection of plantation rows in the…”
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Unsupervised annual change detection from optical-SAR fused satellite image time-series using 3D-CAE by Paul, Subir, la Rosa, Laura Elena Cue, Ghamisi, Pedram, Gloaguen, Richard

“…Satellite images are widely used for change detection in various applications, like, agricultural and forest cover area monitoring and management, urban…”
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Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data by La Rosa, Laura Elena Cué, Sothe, Camile, Feitosa, Raul Queiroz, de Almeida, Cláudia Maria, Schimalski, Marcos Benedito, Oliveira, Dário Augusto Borges

“…This work proposes a multi-task fully convolutional architecture for tree species mapping in dense forests from sparse and scarce polygon-level annotations…”
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Multi-task fully convolutional network for tree species mapping in dense forests using small training hyperspectral data by La Rosa, Laura Elena Cué, Sothe, Camile, Feitosa, Raul Queiroz, de Almeida, Cláudia Maria, Schimalski, Marcos Benedito, Oliveira, Dario Augusto Borges

“…This work proposes a multi-task fully convolutional architecture for tree species mapping in dense forests from sparse and scarce polygon-level annotations…”
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Dense Fully Convolutional Networks for Crop Recognition from Multitemporal SAR Image Sequences by Cue La Rosa, Laura Elena, Happ, Patrick Nigri, Feitosa, Raul Queiroz

“…This work presents a dense fully convolutional architecture for crop type recognition from multitemporal RS images. Basically, we adapted a dense fully…”
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