ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-7, 103-110, 2016
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/III-7/103/2016/
doi:10.5194/isprs-annals-III-7-103-2016
 
07 Jun 2016
ROTATION MATRIX SAMPLING SCHEME FOR MULTIDIMENSIONAL PROBABILITY DISTRIBUTION TRANSFER
P. Srestasathiern, S. Lawawirojwong, R. Suwantong, and P Phuthong Geo-Informatics and Space Technology Development Agency (GISTDA), Laksi, Bangkok, Thailand
Keywords: Histogram specification, Distribution transfer, Color transfer, Data Gaussianization Abstract. This paper address the problem of rotation matrix sampling used for multidimensional probability distribution transfer. The distribution transfer has many applications in remote sensing and image processing such as color adjustment for image mosaicing, image classification, and change detection. The sampling begins with generating a set of random orthogonal matrix samples by Householder transformation technique. The advantage of using the Householder transformation for generating the set of orthogonal matrices is the uniform distribution of the orthogonal matrix samples. The obtained orthogonal matrices are then converted to proper rotation matrices. The performance of using the proposed rotation matrix sampling scheme was tested against the uniform rotation angle sampling. The applications of the proposed method were also demonstrated using two applications i.e., image to image probability distribution transfer and data Gaussianization.
Conference paper (PDF, 3221 KB)


Citation: Srestasathiern, P., Lawawirojwong, S., Suwantong, R., and Phuthong, P.: ROTATION MATRIX SAMPLING SCHEME FOR MULTIDIMENSIONAL PROBABILITY DISTRIBUTION TRANSFER, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-7, 103-110, doi:10.5194/isprs-annals-III-7-103-2016, 2016.

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