Towards automated delineation of smallholder farm fields from VHR images using convolutional networks

C. Persello, V. Tolpekin, J.R. Bergado, R.A. De By

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Automated delineation of smallholder farm fields is difficult because of their small size, irregular shape and the use of mixed-cropping systems. Edges between smallholder plots are often indistinct in satellite imagery and contours have to be identified by considering the transition of the complex textural patterns of the fields. We introduce a strategy to delineate field boundaries using a fully convolutional network in combination with a globalization and grouping algorithm to produce a hierarchical segmentation of the fields. We carry out an experimental analysis in a study area in Kofa, Nigeria, using a WorldView-3 image, comparing several state-of-the-art contour detection algorithms. The proposed strategy outperforms state-of-the-art computer vision methods and shows promising results by automatically delineating field boundaries with an accuracy close to human level photo-interpretation.

Original languageEnglish
Title of host publication2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings
Place of PublicationYokohama
PublisherIEEE
Pages3836-3839
Number of pages4
ISBN (Electronic)978-1-5386-9154-0
DOIs
Publication statusPublished - Jul 2019
EventIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Yokohama, Japan
Duration: 28 Jul 20192 Aug 2019

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
Abbreviated titleIGARSS 2019
CountryJapan
CityYokohama
Period28/07/192/08/19

Keywords

  • agriculture and food security
  • convolutional neural networks
  • deep learning
  • Field boundary extraction
  • remote sensing
  • smallholder farming

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  • Cite this

    Persello, C., Tolpekin, V., Bergado, J. R., & De By, R. A. (2019). Towards automated delineation of smallholder farm fields from VHR images using convolutional networks. In 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings (pp. 3836-3839). [8897979] (International Geoscience and Remote Sensing Symposium (IGARSS)). Yokohama: IEEE. https://doi.org/10.1109/IGARSS.2019.8897979