Korean Journal of Remote Sensing (대한원격탐사학회지)

Korean Society of Remote Sensing (대한원격탐사학회)
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Satellite Imagery based Winter Crop Classification Mapping using Hierarchica Classification

계층분류 기법을 이용한 위성영상 기반의 동계작물 구분도 작성

  • Na, Sang-il (National Institute of Agricultural Sciences, Rural Development Administration) ;
  • Park, Chan-won (National Institute of Agricultural Sciences, Rural Development Administration) ;
  • So, Kyu-ho (National Institute of Agricultural Sciences, Rural Development Administration) ;
  • Park, Jae-moon (National Institute of Agricultural Sciences, Rural Development Administration) ;
  • Lee, Kyung-do (National Institute of Agricultural Sciences, Rural Development Administration)
  • 나상일 (농촌진흥청 국립농업과학원) ;
  • 박찬원 (농촌진흥청 국립농업과학원) ;
  • 소규호 (농촌진흥청 국립농업과학원) ;
  • 박재문 (농촌진흥청 국립농업과학원) ;
  • 이경도 (농촌진흥청 국립농업과학원)
  • Received : 2017.06.30
  • Accepted : 2017.09.11
  • Published : 2017.10.30
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Abstract

In this paper, we propose the use of hierarchical classification for winter crop mapping based on satellite imagery. A hierarchical classification is a classifier that maps input data into defined subsumptive output categories. This classification method can reduce mixed pixel effects and improve classification performance. The methodology are illustrated focus on winter cropsin Gimje city, Jeonbuk with Landsat-8 imagery. First, agriculture fields were extracted from Landsat-8 imagery using Smart Farm Map. And then winter crop fields were extracted from agriculture fields using temporal Normalized Difference Vegetation Index (NDVI). Finally, winter crop fields were then classified into wheat, barley, IRG, whole crop barley and mixed crop fields using signature from Unmanned Aerial Vehicle (UAV). The results indicate that hierarchical classifier could effectively identify winter crop fields with an overall classification accuracy of 98.99%. Thus, it is expected that the proposed classification method would be effectively used for crop mapping.

본 연구에서는 위성영상 기반의 동계작물 구분도 작성을 위한 계층분류 기법을 제안한다. 계층분류 기법은 입력 자료를 계층별로 정의하여 분류하는 방법으로 혼합 픽셀의 효과를 줄이고 분류 성능을 향상시킬 수 있다. 이를 위하여 전북 김제시의 동계작물을 대상으로 Landsat-8 위성영상을 사용하였다. 먼저, Landsat-8 위성영상에서 스마트 팜 맵을 이용하여 농경지를 분류하였다. 그리고 추출된 농경지를 대상으로 시계열 식생지수를 사용하여 동계작물 재배지를 추출한 후, 최종적으로 무인기 영상에서 추출한 훈련자료를 활용하여 밀, 보리, IRG, 청보리 및 혼파 재배지로 분류하였다. 그 결과, 계층분류 기법에 의한 동계작물 분류 정확도는 98.99%로 동계작물별 재배 필지를 효과적으로 분류할 수 있는 것으로 나타났다. 따라서 제안된 분류방법은 작물구분도 작성에 효과적으로 사용 가능할 것으로 기대된다.

Keywords

References

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