Staff Publications

Staff Publications

  • external user (warningwarning)
  • Log in as
  • language uk
  • About

    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 560546
Title Zoom In, Zoom Out: Injecting Scale Invariance into Landuse Classification CNNs
Author(s) Murray, Jesse; Marcos, Diego; Tuia, Devis
Source In: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium. - IEEE - ISBN 9781538691557 - p. 5240 - 5243.
Event IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019-07-28/2019-08-02
DOI https://doi.org/10.1109/IGARSS.2019.8900563
Department(s) Laboratory of Geo-information Science and Remote Sensing
PE&RC
Publication type Contribution in proceedings
Publication year 2019
Abstract We propose a Convolutional Neural Network (CNN), which encodes local scale invariance and equivariance in a multiresolution, multi-sensor image classification task. We show that the locally scale invariant model achieves results that are in line with state-of-the-art. The scale invariant and equivariant models also prove to be more robust to reductions in training data and number of filters used in each convolutional layer. These results demonstrate the benefit of disentangling scale within the learned features of CNNs, in particular when processing multi-resolution imagery. This is beneficial in the two studied cases: when training data is limited, or when the number of model parameters must be kept to a minimum.
Comments
There are no comments yet. You can post the first one!
Post a comment
 
Please log in to use this service. Login as Wageningen University & Research user or guest user in upper right hand corner of this page.