D. Welikanna

IMPROVING MARKOV RANDOM FIELD BASED SUPER RESOLUTION MAPPING THROUGH FUZZY PARAMETER INTEGRATION

M. Tamura, D. Welikanna, V. Tolpekin, 2012 .

ANALYSIS OF THE EFFECTIVENESS OF SPECTRAL MIXTURE ANALYSIS AND MARKOV RANDOM FIELD BASED SUPER RESOLUTION MAPPING IN THE CONTEXT OF URBAN COMPOSITION

D. Welikanna, V. Tolpekin, B. Bharath, 2007 .

Deforestation or Reforestation, A Time Series Remote Sensing Perspective of Wilpattu National Park, Sri Lanka

D. Welikanna, K. Sandamali, Dpt. Surveying, 2018, Journal of Applied Mathematics and Computation.

FUZZY MARKOV RANDOM FIELDS FOR OPTICAL AND MICROWAVE REMOTE SENSING IMAGE ANALYSIS : SUPER RESOLUTION MAPPING (SRM) AND MULTISOURCE IMAGE CLASSIFICATION (MIC)

Duminda Ranganath Welikanna, D. Welikanna, 2014 .

Incorporating uncertanity into Markov random field classification with the combine use of optical and SAR images and aduptive fuzzy mean vector

Junichi Susaki, Masayuki Tamura, D. R . Welikanna, 2014 .

Building Damage and Business Continuity Management in the Event of Natural Hazards: Case Study of the 2004 Tsunami in Sri Lanka

Chandana Dinesh Parape, Abdul U. Bari, M. Tamura, 2013 .

Building Detection Using a Combined Fuzzy C-Mean and Morphological Filtering from Landsat-8 Satellite Image

D. R. Welikanna, M. G. Sammani, D. Welikanna, 2017 .

Analysis of the effectiveness of spectral mixture analysis and Markov random field based super resolution mapping over an urban environment

D. R. Welikanna, Valentyn Tolpekin, Y. Kant, 2008 .

Lognormal Random Field models to identify temporal Land cover changes using full polarimetric L-Band SAR imagery

D.R. Welikanna, M. Tamura, D. Welikanna, 2021, Journal of Geospatial Surveying.