메뉴 건너뛰기




Volumn 3, Issue , 2016, Pages 59-66

CROP TYPE MAPPING from A SEQUENCE of TERRASAR-X IMAGES with DYNAMIC CONDITIONAL RANDOM FIELDS

Author keywords

conditional random fields (CRFs); Dynamic Conditional Random Fields (DCRFs); phenology; spatial temporal classification; TerraSAR X

Indexed keywords


EID: 85019703990     PISSN: 21949042     EISSN: 21949050     Source Type: Conference Proceeding    
DOI: 10.5194/isprs-annals-III-7-59-2016     Document Type: Conference Paper
Times cited : (12)

References (29)
  • 1
    • 80052449896 scopus 로고    scopus 로고
    • Multi-temporal land-cover classification of agricultural areas in two european regions with high resolution spotlight terraSAR-x data
    • Bargiel, D. and Herrmann, S., 2011. Multi-Temporal Land-Cover Classification of Agricultural Areas in Two European Regions with High Resolution Spotlight TerraSAR-X Data. Remote Sensing 3(5), pp. 859-877.
    • (2011) Remote Sensing , vol.3 , Issue.5 , pp. 859-877
    • Bargiel, D.1    Herrmann, S.2
  • 2
    • 0035382401 scopus 로고    scopus 로고
    • What's wrong with pixels? Some recent developments interfacing remote sensing and GIS
    • Blaschke, T. and Strobl, J., 2001. What's wrong with pixels? Some recent developments interfacing remote sensing and GIS. GeoBIT/GIS 6(1), pp. 12-17.
    • (2001) GeoBIT/GIS , vol.6 , Issue.1 , pp. 12-17
    • Blaschke, T.1    Strobl, J.2
  • 3
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman, L., 2001. Random forests. Machine Learning 45(1), pp. 5-32.
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 7
    • 84904497228 scopus 로고    scopus 로고
    • Integration of optical and synthetic aperture radar imagery for improving crop mapping in northwestern Benin, West Africa
    • Forkuor, G., Conrad, C., Thiel, M., Ullmann, T. and Zoungrana, E., 2014. Integration of Optical and Synthetic Aperture Radar Imagery for Improving Crop Mapping in Northwestern Benin, West Africa. Remote Sensing 6(7), pp. 6472-6499.
    • (2014) Remote Sensing , vol.6 , Issue.7 , pp. 6472-6499
    • Forkuor, G.1    Conrad, C.2    Thiel, M.3    Ullmann, T.4    Zoungrana, E.5
  • 8
    • 78649558433 scopus 로고    scopus 로고
    • TerraSAR-X ground segment basic product specification document
    • German Aerospace Center
    • Fritz, T. and Eineder, M., 2009. TerraSAR-X Ground Segment Basic Product Specification Document. Technical report, German Aerospace Center.
    • (2009) Technical Report
    • Fritz, T.1    Eineder, M.2
  • 9
    • 0003684449 scopus 로고    scopus 로고
    • The elements of statistical learning: Data mining, inference, and prediction
    • 2nd edn, Springer
    • Hastie, T., Tibshirani, R. and Friedman, J., 2011. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer Series in Statistics, 2nd edn, Springer.
    • (2011) Springer Series in Statistics
    • Hastie, T.1    Tibshirani, R.2    Friedman, J.3
  • 10
    • 84923883388 scopus 로고    scopus 로고
    • Multitemporal crop type classification using conditional random fields and rapid-eye data
    • Hannover, Germany
    • Hoberg, T. and Müller, S., 2011. Multitemporal Crop Type Classification Using Conditional Random Fields and Rapid-Eye Data. In: ISPRS Workshop, Hannover, Germany.
    • (2011) ISPRS Workshop
    • Hoberg, T.1    Müller, S.2
  • 11
    • 85048909400 scopus 로고    scopus 로고
    • Spatial-temporal conditional random fields crop classification from terrasar-x images
    • Kenduiywo, B., Bargiel, D. and Soergel, U., 2015. Spatial-Temporal Conditional Random Fields Crop Classification from Terrasar-X Images. ISPRS Annals 1, pp. 79-86.
    • (2015) ISPRS Annals , vol.1 , pp. 79-86
    • Kenduiywo, B.1    Bargiel, D.2    Soergel, U.3
  • 12
    • 84897766087 scopus 로고    scopus 로고
    • Detection of built-up area in optical and synthetic aperture radar images using conditional random fields
    • Kenduiywo, B., Tolpekin, V. and Stein, A., 2014. Detection of built-up area in optical and synthetic aperture radar images using conditional random fields. Journal of Applied Remote Sensing 8(1), pp. 083672-1-083672-18.
    • (2014) Journal of Applied Remote Sensing , vol.8 , Issue.1 , pp. 0836721-08367218
    • Kenduiywo, B.1    Tolpekin, V.2    Stein, A.3
  • 14
    • 33646590894 scopus 로고    scopus 로고
    • Discriminative random fields
    • Kumar, S., 2006. Discriminative random fields. Int. J. Comput. Vis. 68(2), pp. 179-201.
    • (2006) Int. J. Comput. Vis. , vol.68 , Issue.2 , pp. 179-201
    • Kumar, S.1
  • 15
    • 0142192295 scopus 로고    scopus 로고
    • Conditional random fields: Probabilistic models for segmenting and labeling sequence data
    • Morgan Kaufmann, San Francisco, CA, USA
    • Lafferty, J. D., McCallum, A. and Pereira, F., 2001. Conditional random fields: probabilistic models for segmenting and labeling sequence data. In: 18th ICML, Morgan Kaufmann, San Francisco, CA, USA, pp. 282-289.
    • (2001) 18th ICML , pp. 282-289
    • Lafferty, J.D.1    McCallum, A.2    Pereira, F.3
  • 17
    • 0029326946 scopus 로고
    • On discontinuity-adaptive smoothness priors in computer vision
    • Li, S., 1995. On discontinuity-adaptive smoothness priors in computer vision. IEEE T. Pattern Anal. 17(6), pp. 576-586.
    • (1995) IEEE T. Pattern Anal. , vol.17 , Issue.6 , pp. 576-586
    • Li, S.1
  • 18
    • 0002425879 scopus 로고    scopus 로고
    • Loopy belief propagation for approximate inference: An empirical study
    • Morgan Kaufmann Publishers Inc., San Francisco, CA, USA
    • Murphy, K., Weiss, Y. and Jordan, M., 1999. Loopy Belief Propagation for Approximate Inference: An Empirical Study. In: 15th Conference on Uncertainty in Artificial Intelligence, Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, pp. 467-475.
    • (1999) 15th Conference On Uncertainty in Artificial Intelligence , pp. 467-475
    • Murphy, K.1    Weiss, Y.2    Jordan, M.3
  • 19
    • 85029319580 scopus 로고    scopus 로고
    • 20 Nov. 2014
    • OpenCV, 2014. Random Trees. http://docs:opencv:org/modules/ml/doc/ml:html. (20 Nov. 2014).
    • (2014) Random Trees
  • 20
    • 84930016645 scopus 로고    scopus 로고
    • Mapping of agricultural crops from single high-resolution multispectral images - Data-driven smoothing vs. Parcel-based smoothing
    • Ozdarici-Ok, A., Ok, A. and Schindler, K., 2015. Mapping of Agricultural Crops from Single High-Resolution Multispectral Images - Data-Driven Smoothing vs. Parcel-Based Smoothing. Remote Sensing 7(5), pp. 5611-5638.
    • (2015) Remote Sensing , vol.7 , Issue.5 , pp. 5611-5638
    • Ozdarici-Ok, A.1    Ok, A.2    Schindler, K.3
  • 22
    • 58149151266 scopus 로고    scopus 로고
    • Texton-boost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context
    • Shotton, J., Winn, J., Rother, C. and Criminisi, A., 2009. Texton-Boost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context. Int. J. Comput. Vis. 81(1), pp. 2-23.
    • (2009) Int. J. Comput. Vis. , vol.81 , Issue.1 , pp. 2-23
    • Shotton, J.1    Winn, J.2    Rother, C.3    Criminisi, A.4
  • 23
    • 84937897682 scopus 로고    scopus 로고
    • A hidden markov models approach for crop classification: Linking crop phenology to time series of multi-sensor remote sensing data
    • Siachalou, S., Mallinis, G. and Tsakiri-Strati, M., 2015. A Hidden Markov Models Approach for Crop Classification: Linking Crop Phenology to Time Series of Multi-Sensor Remote Sensing Data. Remote Sensing 7(4), pp. 3633-3650.
    • (2015) Remote Sensing , vol.7 , Issue.4 , pp. 3633-3650
    • Siachalou, S.1    Mallinis, G.2    Tsakiri-Strati, M.3
  • 24
    • 51849156137 scopus 로고    scopus 로고
    • Beyond accuracy, F-score and ROC: A family of discriminant measures for performance evaluation
    • Springer-Verlag Berlin Heidelberg
    • Sokolova, M., Japkowicz, N. and Szpakowicz, S., 2006. Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evaluation. In: Advances in Artificial Intelligence, Lecture Notes in Computer Science, Vol. 4304, Springer-Verlag Berlin Heidelberg, pp. 1015-1021.
    • (2006) Advances in Artificial Intelligence, Lecture Notes in Computer Science , vol.4304 , pp. 1015-1021
    • Sokolova, M.1    Japkowicz, N.2    Szpakowicz, S.3
  • 26
    • 33947615175 scopus 로고    scopus 로고
    • Dynamic conditional random fields: Factorized probabilistic models for labeling and segmenting sequence data
    • Sutton, C., McCallum, A. and Rohanimanesh, K., 2007. Dynamic conditional random fields: Factorized probabilistic models for labeling and segmenting sequence data. Journal of Machine Learning Research 8, pp. 693-723.
    • (2007) Journal of Machine Learning Research , vol.8 , pp. 693-723
    • Sutton, C.1    McCallum, A.2    Rohanimanesh, K.3
  • 27
    • 0018155973 scopus 로고
    • Bayesian classification in a time-varying environment
    • Swain, P. H., 1978. Bayesian Classification in a Time-Varying Environment. IEEE T. Syst. Man. Cyb. 8(12), pp. 879-883.
    • (1978) IEEE T. Syst. Man. Cyb. , vol.8 , Issue.12 , pp. 879-883
    • Swain, P.H.1
  • 29
    • 84859450624 scopus 로고    scopus 로고
    • 22 Sept
    • World-Bank, 2011. "Food Price Watch". http://www:worldbank:org/foodcrisis/food price watch report feb2011:html. (22 Sept. 2014).
    • (2011) Food Price Watch


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.