하이퍼스펙트럼 영상을 이용한 가을무와 배추의 분류
Classification of Radish and Chinese Cabbage in Autumn Using Hyperspectral Image
1
조회
0
다운로드
1
인용
0
참고문헌
키워드
초록
The objective of this study was to classify between radish and Chinese cabbage in autumn using hyperspectral images. The hyperspectral images wereacquired by Compact Airborne Spectrographic Imager (CASI) with 1m spatial resolution and 48 bands covering the visible and near infrared portions ofthe solar spectrum from 370 to 1044 nm with a bandwidth of 14 nm. An object-based technique is used for classification of radish and Chinese cabbage. It was found that the optimum parameter values for image segmentation were scale 400, shape 0.1, color 0.9, compactness 0.5 and smoothness 0.5. Asa result, the overall accuracy of classification was 90.7 % and the kappa coefficient was 0.71. The hyperspectral images can be used to classify other cropswith higher accuracy than radish and Chines cabbage because of their similar characteristic and growth time.
Abstract
The objective of this study was to classify between radish and Chinese cabbage in autumn using hyperspectral images. The hyperspectral images wereacquired by Compact Airborne Spectrographic Imager (CASI) with 1m spatial resolution and 48 bands covering the visible and near infrared portions ofthe solar spectrum from 370 to 1044 nm with a bandwidth of 14 nm. An object-based technique is used for classification of radish and Chinese cabbage. It was found that the optimum parameter values for image segmentation were scale 400, shape 0.1, color 0.9, compactness 0.5 and smoothness 0.5. Asa result, the overall accuracy of classification was 90.7 % and the kappa coefficient was 0.71. The hyperspectral images can be used to classify other cropswith higher accuracy than radish and Chines cabbage because of their similar characteristic and growth time.
참고문헌 (16)
- Aboelghar, M, "Hyper spectral measurements as a method for potato crop characterization", International Journal of Advanced Remote Sensing and GIS, 2(1), pp.122~129 (2013)
- Baatz, M, "Angewandte Geographische Informationsverarbeitung XII", pp.12~23 (2000), Wichmann-Verlag
- Bajwa, S. G, "Hyperspectral image data mining for band selection in agricultural applications", Transactions-American Society of Agricultural Engineers, 47(3), pp.895~908 (2004)
- Boschetti, L, "Analysis of conflict between omission and commision in low spatial resolution dichotomic thematic products: the Pareto boundary", Remote Sensing of Environment, 91(3-4), pp.280~292 (2004)
- Dopido, I, "A quantitative and comparative assessment of unmixing-based feature extraction techniques for hyperspectral image classification", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5(2), pp.421~435 (2012)
- Guo, B, "Band selection for hyperspectral image classification using mutual information", Geoscience and Remote Sensing Letters, IEEE, 3(4), pp.522~526 (2006)
- Huang, H. Y, "Double nearest proportion feature extraction for hyperspectral-image classification", Geoscience and Remote Sensing, IEEE Transactions on, 48(11), pp.4034~4046 (2010)
- Jensen, J. R, "Remote sensing of the environment: an Earth resource perspective" (2009), Pearson Education India
- 염종민, "변화지역 탐지를 위한 시계열 KOMPSAT-2 다중분광 영상의 MAD 기반 상대복사 보정에 관한 연구", 한국지리정보학회지, 15(3), pp.66~80 (2012), 한국지리정보학회
- 이규성, "초분광 원격탐사의 특성, 처리기법 및 활용 현황", 대한원격탐사학회지, 21(4), pp.341~369 (2005), 대한원격탐사학회
- Kim, T. W, "An optimized band selection of airborne hyperspectral imagery for vegetation indices", Ph.D, pp.2014
- Kruse, F. A, "Integrated multispectral and hyperspectral mineral mapping, Los Menucos, Rio Negro, Argentina, Part II. EO-1 Hyperion", AVIRIS comparisons and Landsat TM, Proceedings of the 11th JPL Airborne Geoscience Workshop, pp.2002[DOI]
- 이미선, "KOMPSAT-3급 위성영상을 이용한 농업 토지이용 및 작물 생육정보 추출", 대한원격탐사학회지, 25(5), pp.411~421 (2009), 대한원격탐사학회
- 이상현, "RapidEye 위성영상의 시계열 NDVI 및 객체기반 분류를 이용한 북한 재령군의 논벼 재배지역 추출 기법 연구", 한국농공학회논문집, 56(3), pp.55~64 (2014), 한국농공학회
- 박진기, "무인비행기 (UAV) 영상을 이용한 농작물 분류", 한국농공학회논문집, 57(6), pp.91~97 (2015), 한국농공학회[DOI]
- Underwood, E, "Mapping nonnative plants using hyperspectral imagery", Remote Sensing of Environment, 86(2), pp.150~161 (2003)