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Patrick Nigri Happ
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2020 – today
- 2022
- [j10]Javier Noa Turnes
, Jose David Bermudez Castro
Atrous cGAN for SAR to Optical Image Translation. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - 2021
- [c10]Marcos Rogozinski
Exploring Temporal Context at Multiple Scales for Crop Mapping with Fully Convolutional Recurrent Nets and Fully Connected CRFS. IGARSS 2021: 2305-2308 - [c9]Mabel Ortega Adarme, Raul Queiroz Feitosa, Jose D. Bermudez, Patrick Nigri Happ, Cláudio Aparecido de Almeida:
Comparison of Optical and SAR Data for Deforestation Mapping in the Amazon Rainforest with Fully Convolutional Networks. IGARSS 2021: 3769-3772 - 2020
- [j9]Mabel Ortega Adarme
Evaluation of Deep Learning Techniques for Deforestation Detection in the Brazilian Amazon and Cerrado Biomes From Remote Sensing Imagery. Remote. Sens. 12(6): 910 (2020) - [j8]Daliana Lobo Torres
Applying Fully Convolutional Architectures for Semantic Segmentation of a Single Tree Species in Urban Environment on High Resolution UAV Optical Imagery. Sensors 20(2): 563 (2020) - [c8]Victor H. Andres Ayma, Patrick Nigri Happ, Raul Queiroz Feitosa, Gilson A. O. P. Costa, Bruno Feijó
Symbiotic Trackers' Ensemble with Trackers' Re-initialization for Face Tracking. SIMBig 2020: 250-263
2010 – 2019
- 2019
- [j7]Jose David Bermudez Castro
Synthesis of Multispectral Optical Images From SAR/Optical Multitemporal Data Using Conditional Generative Adversarial Networks. IEEE Geosci. Remote. Sens. Lett. 16(8): 1220-1224 (2019) - [j6]Laura Elena Cue La Rosa
Combining Deep Learning and Prior Knowledge for Crop Mapping in Tropical Regions from Multitemporal SAR Image Sequences. Remote. Sens. 11(17): 2029 (2019) - 2018
- [c7]Jose David Bermudez Castro
An Hybrid Recurrent Convolutional Neural Network for Crop Type Recognition Based on Multitemporal Sar Image Sequences. IGARSS 2018: 3824-3827 - [c6]Laura Elena Cue La Rosa
Dense Fully Convolutional Networks for Crop Recognition from Multitemporal SAR Image Sequences. IGARSS 2018: 7460-7463 - 2017
- [j5]Victor Andres Ayma Quirita
A New Cloud Computing Architecture for the Classification of Remote Sensing Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(2): 409-416 (2017) - [j4]Rodrigo S. Ferreira, Cristiana Bentes, Gilson A. O. P. da Costa, Dário A. B. Oliveira
A Set of Methods to Support Object-Based Distributed Analysis of Large Volumes of Earth Observation Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(2): 681-690 (2017) - [c5]Victor Hugo Ayma Quirita
Symbiotic Tracker Ensemble with Feedback Learning. SIBGRAPI 2017: 421-428 - 2016
- [j3]Victor Andres Ayma
Metaheuristics for Supervised Parameter Tuning of Multiresolution Segmentation. IEEE Geosci. Remote. Sens. Lett. 13(9): 1364-1368 (2016) - [j2]Patrick Nigri Happ
A Cloud Computing Strategy for Region-Growing Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(12): 5294-5303 (2016) - [c4]Pedro Juan Soto Vega, Raul Queiroz Feitosa, Victor Hugo Ayma Quirita
Single Sample Face Recognition from Video via Stacked Supervised Auto-Encoder. SIBGRAPI 2016: 96-103 - 2015
- [c3]Victor Andres Ayma
On the architecture of a big data classification tool based on a map reduce approach for hyperspectral image analysis. IGARSS 2015: 1508-1511 - [c2]Pedro Achanccaray Diaz
SPT 3.1: A free software for automatic tuning of segmentation parameters in optical, hyperspectral and SAR images. IGARSS 2015: 4332-4335 - [c1]Patrick Nigri Happ
Towards distributed region growing image segmentation based on MapReduce. IGARSS 2015: 4352-4355 - 2013
- [j1]Patrick Nigri Happ
A Region-Growing Segmentation Algorithm for GPUs. IEEE Geosci. Remote. Sens. Lett. 10(6): 1612-1616 (2013)
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