Paper Info
Title
Synthesis And Analysis Of Periodically Distributed Satellite Image Components By Independent Component Analysis
Abstract
In analyzing multispectral satellite images, the existence of mixels caused by high altitude observation makes it difficult to distinguish pure spectra from the coverage. In tills paper, we firstly propose an analytic method which enable us to separate the change of vegetation into qualitative one due to biological characteristics such as the chlorophyll quantity, and the coverage quantity by utilizing the characteristic feature of the spatial distribution of crops, i.e. periodicity, for independent component analysis (ICA). As the second proposal, we introduce a synthetic method which aims at the estimation of the spatial frequency and direction of periodically distributed pattern from noisy and diffused images by synthesizing the data based on the combination of multi-directional scanning, multiple bandpass filtering and ICA.
Year
Venue
Keywords
2004
IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET
crops,artificial satellites,spatial frequency,agriculture,bandpass filter,high altitude,image processing,independent component analysis
Field
DocType
ISSN
Computer vision,Analytic element method,Satellite,Computer science,Multispectral image,Remote sensing,Image processing,Artificial intelligence,Independent component analysis,Pixel,Satellite image,Spatial frequency
Conference
2153-6996
Citations 
PageRank 
References 
0
0.34
1
Authors
3
Name
Order
Citations
PageRank
Kuniaki Uto13210.40
Naoko Kosaka21611.70
Yukio Kosugi312726.67