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Multispectral Vineyard Segmentation: A Deep Learning approach

Multispectral Vineyard Segmentation: A Deep Learning approach

2 August 2021
T. Barros
Pedro Conde
G. Gonçalves
C. Premebida
M. Monteiro
C. Ferreira
U. J. Nunes
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Papers citing "Multispectral Vineyard Segmentation: A Deep Learning approach"

5 / 5 papers shown
Title
Designing a Classifier for Active Fire Detection from Multispectral
  Satellite Imagery Using Neural Architecture Search
Designing a Classifier for Active Fire Detection from Multispectral Satellite Imagery Using Neural Architecture Search
Amber Cassimon
Phil Reiter
Siegfried Mercelis
Kevin Mets
30
0
0
07 Oct 2024
CRASAR-U-DROIDs: A Large Scale Benchmark Dataset for Building Alignment
  and Damage Assessment in Georectified sUAS Imagery
CRASAR-U-DROIDs: A Large Scale Benchmark Dataset for Building Alignment and Damage Assessment in Georectified sUAS Imagery
Thomas Manzini
Priyankari Perali
Raisa Karnik
Robin Murphy
43
3
0
24 Jul 2024
AI for Agriculture: the Comparison of Semantic Segmentation Methods for
  Crop Mapping with Sentinel-2 Imagery
AI for Agriculture: the Comparison of Semantic Segmentation Methods for Crop Mapping with Sentinel-2 Imagery
Irina Korotkova
Natalia Efremova
22
0
0
21 Nov 2023
Multispectral Image Segmentation in Agriculture: A Comprehensive Study
  on Fusion Approaches
Multispectral Image Segmentation in Agriculture: A Comprehensive Study on Fusion Approaches
Nuno Cunha
T. Barros
Mário Reis
Tiago Marta
C. Premebida
U. J. Nunes
16
4
0
31 Jul 2023
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
454
15,657
0
02 Nov 2015
1