메뉴 건너뛰기




Volumn 2010, Issue 2, 2010, Pages 141-156

Potential of digital sensors for land cover and tree species classifications - A case study in the framework of the DGPF-project

Author keywords

Digital airborne systems; Land cover classification; Logistic regression; Maximum likelihood; Tree species

Indexed keywords


EID: 77958101917     PISSN: 14328364     EISSN: None     Source Type: Journal    
DOI: 10.1127/1432-8364/2010/0046     Document Type: Conference Paper
Times cited : (25)

References (31)
  • 1
    • 6444225723 scopus 로고    scopus 로고
    • Einführung in die fernerkundung, grundlagen der interpretation von luft-und satellitenbildern
    • Darmstadt
    • ALBERTZ, J., 2001: Einführung in die Fernerkundung, Grundlagen der Interpretation von Luft-und Satellitenbildern. - Wissenschaftliche Buchgesellschaft, Darmstadt.
    • (2001) Wissenschaftliche Buchgesellschaft
    • Albertz, J.1
  • 2
    • 0001812168 scopus 로고    scopus 로고
    • Multiresolution segmentation - An optimization approach for high quality multi-scale image segmentation
    • Wichmann, Heidelberg
    • BAATZ, M. & SCHÄPE, A., 2000: Multiresolution Segmentation - an optimization approach for high quality multi-scale image segmentation. - Angewandte Geographische Informationsverarbeitung XII: 12-23; Wichmann, Heidelberg.
    • (2000) Angewandte Geographische Informationsverarbeitung , vol.12 , pp. 12-23
    • Baatz, M.1    Schäpe, A.2
  • 3
    • 34147150061 scopus 로고    scopus 로고
    • Boosting: A classification method for remote sensing
    • DOI 10.1080/01431160500469985, PII 776621767
    • BAILLY, J.S., ARNAUD, M. & PUECH, C., 2007: Boosting: a classification method for remote sensing. - International Journal of Remote Sensing 28 (7-8): 1687-1710. (Pubitemid 46563300)
    • (2007) International Journal of Remote Sensing , vol.28 , Issue.7 , pp. 1687-1710
    • Bailly, J.S.1    Arnaud, M.2    Puech, C.3
  • 7
    • 79958845983 scopus 로고
    • Untersuchung zu digitalen multispektralen klassifizierung von fernerkundungsaufnahmen mit beispielen aus den wattgebieten der deutschen nordseeküste
    • Hannover
    • DENNERT-MÖLLER, E., 1983: Untersuchung zu digitalen multispektralen Klassifizierung von Fernerkundungsaufnahmen mit Beispielen aus den Wattgebieten der deutschen Nordseeküste. - Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik, Hannover.
    • (1983) Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik
    • Dennert-Möller, E.1
  • 10
    • 1942439885 scopus 로고    scopus 로고
    • Comparison of maximum likelihood classification method with supervised artificial neural network algorithms for land use activities
    • DOI 10.1080/0143116031000150077
    • ERBEK, F.S., ÖZKAN, C. & TABERNER, M., 2004: Comparison of maximum likelihood classification method with supervised artificial neural network algorithms for land use activities. - International Journal of Remote Sensing 25 (9): 1733-1748. (Pubitemid 38516807)
    • (2004) International Journal of Remote Sensing , vol.25 , Issue.9 , pp. 1733-1748
    • Sunar Erbek, F.1    Ozkan, C.2    Taberner, M.3
  • 11
    • 0003626435 scopus 로고    scopus 로고
    • Second edition; Prentice Hall, Upper Saddle River, NY, USA
    • GONZALES, R.C. & WOODS, R.E., 2002: Digital image processing - Second edition; Prentice Hall, Upper Saddle River, NY, USA.
    • (2002) Digital Image Processing
    • Gonzales, R.C.1    Woods, R.E.2
  • 13
    • 34548489372 scopus 로고    scopus 로고
    • Single tree detection in very high resolution remote sensing data
    • DOI 10.1016/j.rse.2007.02.029, PII S0034425707001836
    • HIRSCHMUGL, M., OFNER, M., RAGGAM, J. & SCHARDT, M., 2007: Single tree detection in very high-resolution remote sensing data. - Remote Sensing of Environment 110: 533-544. (Pubitemid 47371022)
    • (2007) Remote Sensing of Environment , vol.110 , Issue.4 , pp. 533-544
    • Hirschmugl, M.1    Ofner, M.2    Raggam, J.3    Schardt, M.4
  • 14
    • 40049088615 scopus 로고    scopus 로고
    • Species identification of individual trees by combining high resolution LiDAR data with multi-spectral images
    • DOI 10.1080/01431160701736471, PII 790896297, 3D Remote Sensing in Forestry
    • HOLMGREN, J., PERSSON, A. & SODERMAN, U., 2008: Species identification of individual trees by combining high resolution LiDAR data with multi-spectral images. - International Journal of Remote Sensing 29: 1537-1552. (Pubitemid 351324635)
    • (2008) International Journal of Remote Sensing , vol.29 , Issue.5 , pp. 1537-1552
    • Holmgren, J.1    Persson, A.2    Soderman, U.3
  • 19
    • 79958855147 scopus 로고    scopus 로고
    • Additional benefit of image fusion method from combined high resolution TerraSAR-X and multispectral SPOT data for classification
    • in press
    • KLONUS, S. & EHLERS, M., 2009: Additional benefit of image fusion method from combined high resolution TerraSAR-X and multispectral SPOT data for classification. - 29th Earsel Symposium, in press.
    • (2009) 29th Earsel Symposium
    • Klonus, S.1    Ehlers, M.2
  • 23
    • 33947591833 scopus 로고    scopus 로고
    • A survey of image classification methods and techniques for improving classification performance
    • DOI 10.1080/01431160600746456, PII 773345198
    • LU, D. & WENG, Q., 2007: A survey of image classification methods and techniques for improving classification performance. - International Journal of Remote Sensing 28 (5): 823-870. (Pubitemid 46476334)
    • (2007) International Journal of Remote Sensing , vol.28 , Issue.5 , pp. 823-870
    • Lu, D.1    Weng, Q.2
  • 29
    • 35248819180 scopus 로고    scopus 로고
    • Prediction of lichen diversity in an UNESCO biosphere reserve - Correlation of high resolution remote sensing data with field samples
    • DOI 10.1007/s10666-006-9066-2, Integrating Disciplinary Research into an Interdisciplinary Framework
    • WASER, L.T., KÜCHLER, M., ECKER, K., SCHWARZ, M., IVITS, E., STOFER, S. & SCHEIDEGGER, CH., 2007: Prediction of Lichen Diversity in an Unesco Biosphere Reserve - Correlation of high Resolution Remote Sensing Data with Field Samples. - Environmental Modeling & Assessment 12 (4): 315-328. (Pubitemid 47568082)
    • (2007) Environmental Modeling and Assessment , vol.12 , Issue.4 , pp. 315-328
    • Waser, L.T.1    Kuechler, M.2    Schwarz, M.3    Ivits, E.4    Stofer, S.5    Scheidegger, C.6
  • 30
    • 40049111079 scopus 로고    scopus 로고
    • High-resolution digital surface models (DSMs) for modelling fractional shrub/tree cover in a mire environment
    • DOI 10.1080/01431160701736422, PII 790896085, 3D Remote Sensing in Forestry
    • WASER, L.T., BALTSAVIAS, E., ECKER, K., EISENBEISS, H., GINZLER, C., KÜCHLER, M., THEE, P. & ZANG, L., 2008a: High-resolution digital surface models (DSM) for modelling fractional shrub/tree cover in a mire environment. - International Journal of Remote Sensing 29 (5): 1261-1276. (Pubitemid 351321076)
    • (2008) International Journal of Remote Sensing , vol.29 , Issue.5 , pp. 1261-1276
    • Waser, L.T.1    Baltsavias, E.2    Ecker, K.3    Eisenbeiss, H.4    Ginzler, C.5    Kuchler, M.6    Thee, P.7    Zhang, L.8


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.