Prediction of paddy field area base on aerial photography using multispectral camera

Prasepvianto Estu Broto, Adhi Harmoko Saputro, Dony Kushardono

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

Abstract

Calculation of paddy field area is necessary to know to predict a number of the paddy production in some region. In this paper, we proposed a system to predict paddy field area automatically based on aerial photography that collected using the multispectral camera. The multispectral camera is mounted on the wing of an integrated aircraft with GPS to provide position information of the resulting image. The multispectral images from the camera are then processed using texture segmentation. The threshold value is obtained by using Otsu method to convert the multispectral image into a binary image. Ground Sampling Distance (GSD) is computed by knowing the height of the aircraft flying and the field of view of the camera. GSD values can be used to calculate the area by multiplying by the number of pixels of each class. The system evaluation is performed by comparing the results of software processing with manual processing and calculated by confusion matrix. The accuracy of the system that has been made is 98%. This research was succeeded to make an automatic prediction system of paddy field area based on aerial remote sensing which the output is information of paddy field area.

Original languageEnglish
Title of host publicationProceedings - 2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages425-429
Number of pages5
ISBN (Electronic)9781538621820
DOIs
Publication statusPublished - 27 Feb 2018
Event2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017 - Batu City, Indonesia
Duration: 24 Nov 201725 Nov 2017

Publication series

NameProceedings - 2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017
Volume2018-January

Conference

Conference2017 International Conference on Sustainable Information Engineering and Technology, SIET 2017
Country/TerritoryIndonesia
CityBatu City
Period24/11/1725/11/17

Keywords

  • Multispectral
  • Paddy field
  • Segmentation

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