Stochastic approaches of minimum distance method for region based classification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7441 LNCS, Issue , 2012, Pages 797-804

  Negri, Rogério G ^a   Dutra, Luciano V ^a   Sant'Anna, Sidnei J S ^a  

^a INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS   (Brazil)

Author keywords

image simulation; region based classification; remote sensing; stochastic distances

Indexed keywords

CLASSIFICATION PROCESS; IMAGE SIMULATIONS; MINIMUM AVERAGE DISTANCE; MINIMUM DISTANCE; REGION-BASED; REMOTE SENSING IMAGE CLASSIFICATION; SECOND VARIATION; SIMPLE APPROACH; SIMULATION STUDIES; STOCHASTIC APPROACH; STOCHASTIC DISTANCES;

IMAGE ANALYSIS; IMAGE RECONSTRUCTION; REMOTE SENSING; STOCHASTIC SYSTEMS;

COMPUTER VISION;

EID: 84865594769     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33275-3_98     Document Type: Conference Paper

References (4)

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2. Silva, W.B., Pereira, L.O., Sant'Anna, S.J.S., Freitas, C.C., Guimarães, R.J.P.S., Frery, A.C.: Land cover discrimination at brazilian Amazon using region based classifier and stochastic distance. In: 2011 IEEE International Geoscience and Remote Sensing Symposium, pp. 2900-2903 (2011)
3. Richards, J.A., Jia, X.: Remote Sensing Digital Image Analysis: An Introduction. Springer (2005)
4. Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 3rd edn. Prentice-Hall, Inc., Upper Saddle River (2006)