Paper
19 April 2000 2D wavelet feature detection for defining curved boundaries in Landsat images
Author Affiliations +
Abstract
Multiscale feature detection will be extended over a large region of Landsat images to define boundaries between homogeneous regions formed by individual crops. It is expected that it will be possible to define a grid between homogeneous regions defined by both man-made boundaries (2-D edges) and river beds (2-D curves) which define the availability of water. This approach might be usefully applied to remote sensing images based on other wavelengths (i.e. IR or laser remote sensing).
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Katharine J. Jones "2D wavelet feature detection for defining curved boundaries in Landsat images", Proc. SPIE 3974, Image and Video Communications and Processing 2000, (19 April 2000); https://doi.org/10.1117/12.383017
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KEYWORDS
Earth observing sensors

Landsat

Wavelets

Remote sensing

Image processing

Denoising

Edge detection

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