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Segmentation of Satellite Imagery using U-Net Models for Land Cover
  Classification

Segmentation of Satellite Imagery using U-Net Models for Land Cover Classification

5 March 2020
Priit Ulmas
I. Liiv
ArXivPDFHTML

Papers citing "Segmentation of Satellite Imagery using U-Net Models for Land Cover Classification"

4 / 4 papers shown
Title
A multi-scale vision transformer-based multimodal GeoAI model for mapping Arctic permafrost thaw
A multi-scale vision transformer-based multimodal GeoAI model for mapping Arctic permafrost thaw
Wenwen Li
Chia-Yu Hsu
Sizhe Wang
Zhining Gu
Yili Yang
Brendan M. Rogers
A. Liljedahl
57
0
0
23 Apr 2025
L^3U-net: Low-Latency Lightweight U-net Based Image Segmentation Model
  for Parallel CNN Processors
L^3U-net: Low-Latency Lightweight U-net Based Image Segmentation Model for Parallel CNN Processors
O. E. Okman
Mehmet Gorkem Ulkar
Gulnur Selda Uyanik
SSeg
24
4
0
30 Mar 2022
Clustering augmented Self-Supervised Learning: Anapplication to Land
  Cover Mapping
Clustering augmented Self-Supervised Learning: Anapplication to Land Cover Mapping
Rahul Ghosh
X. Jia
Chenxi Lin
Zhenong Jin
Vipin Kumar
SSL
22
8
0
16 Aug 2021
Learning Pixel-level Semantic Affinity with Image-level Supervision for
  Weakly Supervised Semantic Segmentation
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation
Jiwoon Ahn
Suha Kwak
213
740
0
28 Mar 2018
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