Multispectral lines of communication extraction

James R. Lersch; A. Evan Iverson; Karen F. West

doi:10.1117/12.179784

8 July 1994 Multispectral lines of communication extraction

James R. Lersch, A. Evan Iverson, Karen F. West

Proceedings Volume 2231, Algorithms for Multispectral and Hyperspectral Imagery; (1994) https://doi.org/10.1117/12.179784
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

A new technique for the extraction of lines of communication (LOCs) from Landsat Thematic Mapper (TM) data is presented. A multi-stage approach is taken. First, LOC segments are detected. Next, gaps between segments are filled by a segment connection routine. Finally, the connected segments are identified. In the segment detection stage a distinction is made between wide LOC and narrow LOC segments. Wide LOC segments are detected by a neural network based segmentation algorithm. Input to the network are spatial and spectral features computed about each pixel. Narrow LOC segments are detected by a cost minimization algorithm designed to work on the multispectral data. Segment connection is performed by connecting those LOC segments that have consistent alignment, position, and spectral signatures. The identification stage consists of a neural network with inputs of shape and spectral features about each connected LOC. While the system is still being refined, most critical pieces have been prototyped and tested. Initial results are encouraging.

Citation Download Citation

James R. Lersch, A. Evan Iverson, and Karen F. West "Multispectral lines of communication extraction", Proc. SPIE 2231, Algorithms for Multispectral and Hyperspectral Imagery, (8 July 1994); https://doi.org/10.1117/12.179784

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