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Wide-Area Land Cover Mapping with Sentinel-1 Imagery using Deep Learning
  Semantic Segmentation Models

Wide-Area Land Cover Mapping with Sentinel-1 Imagery using Deep Learning Semantic Segmentation Models

11 December 2019
S. Šćepanović
O. Antropov
Pekka Laurila
Y. Rauste
V. Ignatenko
J. Praks
    SSeg
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Papers citing "Wide-Area Land Cover Mapping with Sentinel-1 Imagery using Deep Learning Semantic Segmentation Models"

2 / 2 papers shown
Title
A Novel Semisupervised Contrastive Regression Framework for Forest
  Inventory Mapping with Multisensor Satellite Data
A Novel Semisupervised Contrastive Regression Framework for Forest Inventory Mapping with Multisensor Satellite Data
Shaojia Ge
Hong Gu
W. Su
Anne Lonnqvist
O. Antropov
25
4
0
01 Dec 2022
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
437
15,631
0
02 Nov 2015
1