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A hierarchical deep learning framework for the consistent classification
  of land use objects in geospatial databases

A hierarchical deep learning framework for the consistent classification of land use objects in geospatial databases

14 April 2021
Chun Yang
Franz Rottensteiner
Christian Heipke
ArXivPDFHTML

Papers citing "A hierarchical deep learning framework for the consistent classification of land use objects in geospatial databases"

1 / 1 papers shown
Title
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
446
15,639
0
02 Nov 2015
1