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1. SUPERVISED SEGMENTATION OF REMOTE SENSING IMAGE USING
REFERENCE DESCRIPTOR
ABSTRACT
In this letter, we propose the use of a novel featurerepresentation called reference
descriptor (RD) for supervisedremote sensing image segmentation. Different from
traditionallow-level image features such as color, shape, and texture, whichare directly extracted
from an image, RD describes a data sampleby its similarities to the exemplar data in a reference
set and isa higher level feature representation of the data sample. Experimentsshow that
comparing with segmentation using low-levelimage features, RD is more robust against intra-
class variationof land cover type. Using RD can improve the accuracy in asupervised
segmentation (classification) framework, and superiorperformance is observed in comparison to
other methods ondifferent image data. In addition, compared with the competingmethods, an
RD-based method is more efficient.