Paper
30 December 1994 Method for change analysis with weight of significance using multitemporal multispectral images
Hiroshi Hanaizumi, Shinji Chino, Sadao Fujimura
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Abstract
A new method is proposed for change analysis with weight of significance between two multi- temporal multi-spectral images. This method gives us areas which indicate the assigned temporal change, for example, from vegetation to bare soil. Image data are projected onto a feature space in which the assigned change is emphasized, and temporal changes between two images are detected with suppression of irrelevant changes. The validity of the method is confirmed by numerical simulation. The method is successfully applied to actual multi- temporal and multi-spectral images.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hiroshi Hanaizumi, Shinji Chino, and Sadao Fujimura "Method for change analysis with weight of significance using multitemporal multispectral images", Proc. SPIE 2315, Image and Signal Processing for Remote Sensing, (30 December 1994); https://doi.org/10.1117/12.196726
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Image processing

Canonical correlation analysis

Vegetation

Error analysis

Multispectral imaging

Numerical simulations

Computed tomography

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