Image-based coral reef classification and thematic mapping

Remote Sensing

Volumn 5, Issue 4, 2013, Pages 1809-1841

  Shihavuddin, A S M ^a   Gracias, Nuno ^a   Garcia, Rafael ^a   Gleason, Arthur C R ^b   Gintert, Brooke ^c  

^a UNIVERSITY OF GIRONA   (Spain)

^b Department of Biology   (United States)

^c UNIVERSITY OF MIAMI   (United States)

Author keywords

Automated coral reef classification; Benthic habitat classification; Grey level co occurrence matrix; Kernel mapping; Local binary pattern; Low resolution; Opponent angle; Optical imagery; Optical mapping; Probability density weighted mean distance; Support vector machine; Texture feature; Thematic mapping

Indexed keywords

BENTHIC HABITATS; CORAL REEF; GREY LEVEL CO-OCCURRENCE MATRIXES; KERNEL MAPPING; LOCAL BINARY PATTERNS; LOW RESOLUTION; OPPONENT ANGLE; OPTICAL IMAGERY; OPTICAL MAPPING; PROBABILITY DENSITIES; TEXTURE FEATURES; THEMATIC MAPPING;

MAPPING; MAPS; REEFS; SUPPORT VECTOR MACHINES; TEXTURES;

IMAGE CLASSIFICATION;

EID: 84880423935     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs5041809     Document Type: Article

References (3)

1. Lazebnik, S.; Schmid, C.; Ponce, J. A sparse texture representation using local affine regions.IEEE Trans. Pattern Anal. Mach. Intell. 2005, 27, 1265-1278.
2. Dana, K.J.; van Ginneken, B.; Nayar, S.K.; Koenderink, J.J. Reflectance and texture of real-worldsurfaces. ACM Trans. Graph. 1999, 18, 1-34.
3. Hayman, E.; Caputo, B.; Fritz, M.; Eklundh, J.O. On the significance of real-world conditions formaterial classification. Eur. Conf. Comput. Vis. 2004, 3024, 253-266.