Compressing terrain datasets using segmentation | W. Randolph Franklin, Rensselaer Polytechnic Institute, Troy NY USA

W. Randolph Franklin and Metin Inanc. Compressing terrain datasets using segmentation. In Proceedings of SPIE Vol. 6313 Advanced Architectures, and Implementations XVI. San Diego CA, 15-16 August 2006. International Society for Optical Engineering. 6313-17, Session 4.
[full text] [BibTeX▼]

@inproceedings{wrf-mi-spie-2006,
    author = "Franklin, W. Randolph and Inanc, Metin",
    title = "Compressing terrain datasets using segmentation",
    booktitle = "Proceedings of {SPIE} Vol. 6313 Advanced Architectures, and Implementations {XVI}",
    year = "2006",
    month = "15-16 August",
    organization = "International Society for Optical Engineering",
    address = "San Diego CA",
    note = "6313-17, Session 4",
    mykey = "terrain inanc",
    href = "\bibhref{112b-spie06-inanc}"
}

Abstract

We propose a novel compression scheme to achieve lossless compression of elevation datasets. Our scheme does not use predictors in traditional sense. Predictors are based on dataset segments instead of the rows and columns processed so far. We believe that this is a far better way of expressing context in an image or elevation datasets since it can capture continuities in different geometries and is not limited to a subset of a pixel~s neighborhood. We compare the compression results of our scheme with that of JPEG-2000.

Full Text

[download]