FIELD COMPOST DETECTION METHOD AND SYSTEM CAPABLE OF POLLUTANT MANAGEMENT

The present invention provides a field compost detection method which comprises the following steps of: obtaining an ortho-image related to a target area; inputting the ortho-image into a pre-trained deep learning model to obtain a region of interest in the ortho-image, which is an area where field...

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Bibliographische Detailangaben
Hauptverfasser: JANG SEON WOONG, KIM HEUNG MIN, BAK SU HO
Format: Patent
Sprache:eng ; kor
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Beschreibung
Zusammenfassung:The present invention provides a field compost detection method which comprises the following steps of: obtaining an ortho-image related to a target area; inputting the ortho-image into a pre-trained deep learning model to obtain a region of interest in the ortho-image, which is an area where field compost exists; calculating status information related to the field compost to determine priorities for managing the field compost based on at least one of the ortho-image and the region of interest; and outputting the calculated status information. 본 발명은, 대상 지역과 관련된 정사영상을 획득하는 단계; 미리 학습된 딥러닝 모델에 상기 정사영상을 입력하여, 상기 정사영상에서 야적 퇴비가 존재하는 영역인, 관심 영역을 획득하는 단계; 상기 정사영상 및 상기 관심 영역 중 적어도 하나에 근거하여, 상기 야적 퇴비를 관리하기 위한 우선 순위를 판단하도록, 상기 야적 퇴비와 관련된 현황 정보를 산출하는 단계; 및 상기 산출된 현황 정보를 출력하는 단계;를 포함하는, 야적 퇴비 탐지 방법을 제공한다.