최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기한국지리정보학회지 = Journal of the Korean Association of Geographic Information Studies, v.22 no.4, 2019년, pp.1 - 11
박홍련 (영산대학교 스마트시티공학부) , 박완용 (국방과학연구소) , 박현춘 (국방과학연구소) , 최석근 (충북대학교 토목공학부) , 최재완 (충북대학교 토목공학부) , 임헌량 (국토지리정보원)
With the development of remote sensing sensor technology, it has become possible to acquire satellite images with various spectral information. In particular, since the hyperspectral image is composed of continuous and narrow spectral wavelength, it can be effectively used in various fields such as ...
* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.
Benediktsson, J.A., Palmason, J.A. and Sveinsson, J.R., 2005, Classification of hyperspectral data from urban areas based on extended morphological profiles, IEEE Transactions on Geoscience and Remote Sensing, 43(3):480-491.
Bovolo, F., Bruzzone, L., Capobianco, L., Garzelli, A., Marchesi, S. and Nencini, F., 2010, Analysis of the effects of pansharpening in change detection on VHR images, IEEE Geoscience and Remote Sensing Letters, 7(1):53-57.
Bovolo, F., Bruzzone, L. and Marconcini, M. A., 2008, Novel approach to unsupervised change detection based on a semisupervised SVM and a similarity measure, IEEE Transactions Geoscience and Remote Sensing, 46(7):2070-2082.
Bruzzone, L. and Prieto, D. F., 2000, Automatic analysis of the difference image for unsupervised change detection, IEEE Transactions on Geoscience and Remote Sensing, 38(3):1171-1182.
Deng, J.S., Wang, K., Deng, Y, H. and Qi G.J., 2008, PCA-based land-use change detection and analysis using multitemporal and multisensor satellite data, International Journal of Remote Sensing, 29(16):4823-4838.
Harsanyi, J.C. and Chang, C, I., 1994, Hyperspectral image classification and dimensionality reduction: an orthogonal subspace projection approach, IEEE Transactions on Geoscience and Remote Sensing, 32(4):779-785.
Johnson, R.D. and Kasischke, E.S., 1998, Change vector analysis: a technique for the multispectral monitoring of land cover and condition, International Journal of Remote Sensing, 19(3):411-426.
Park, N., Chi, K., Lee, K. and Kwon, B., 2003, Automatic estimation of threshold values for change detection of multitemporal remote sensing images, Korean Journal of Remote Sensing, 19(6):465-478.
Park, H., Choi, J. and Oh, J., 2018, Seasonal effects removal of unsupervised change detection based multitemporal imagery, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, 36(2):51-58.
Park, H., Choi, J., Park, W. and Park, H., 2018, Modified S2CVA algorithm using cross-sharpened images for unsupervised change detection, Sustainability, 10(9):3301-3320.
Solano-Correa, Y. T., Bovolo, F. and Bruzzone, L., 2018, An approach for unsupervised change detection in multitemporal VHR images acquired by different multispectral sensors, Remote Sensing, 10(4):533-555.
Volpi, M., Tuia, D., Bovolo, F., Kanevski, M. and Bruzzone, L., 2013, Supervised change detection in VHR images using contextual information and support vector machines, International Journal of Applied Earth Observation and Geoinformation, 20:77-85.
Wang, B., Choi, S., Byun, Y, Lee, S. and Choi, J., 2015, Object-based change detection of very high resolution satellite imagery using the cross-sharpening of multitemporal data, IEEE Geoscience and Remote Sensing Letters, 12(5):1151-1155.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
Free Access. 출판사/학술단체 등이 허락한 무료 공개 사이트를 통해 자유로운 이용이 가능한 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.