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Small, Sparse, but Substantial: Techniques for Segmenting Small
  Agricultural Fields Using Sparse Ground Data

Small, Sparse, but Substantial: Techniques for Segmenting Small Agricultural Fields Using Sparse Ground Data

5 May 2020
S. Marvaniya
Umamaheswari Devi
J. Hazra
Shashank Mujumdar
Nitin Gupta
ArXivPDFHTML

Papers citing "Small, Sparse, but Substantial: Techniques for Segmenting Small Agricultural Fields Using Sparse Ground Data"

2 / 2 papers shown
Title
Deep Learning and Earth Observation to Support the Sustainable
  Development Goals
Deep Learning and Earth Observation to Support the Sustainable Development Goals
Claudio Persello
Jan Dirk Wegner
Ronny Hansch
D. Tuia
Pedram Ghamisi
M. Koeva
Gustau Camps-Valls
20
4
0
21 Dec 2021
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
435
15,595
0
02 Nov 2015
1