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Quaternion-Based Texture Analysis of Multiband Satellite Images: Application to the Estimation of Aboveground Biomass in the East Region of Cameroon
- Source :
- Acta Biotheoretica, Acta Biotheoretica, Springer Verlag, 2018, 66 (1), pp.17-60. ⟨10.1007/s10441-018-9317-z⟩, Acta Biotheoretica, 2018, 66 (1), pp.17-60. ⟨10.1007/s10441-018-9317-z⟩
- Publication Year :
- 2018
- Publisher :
- HAL CCSD, 2018.
-
Abstract
- International audience; Within the last decade, several approaches using quaternion numbers to handle and model multiband images in a holistic manner were introduced. The qua-ternion Fourier transform can be efficiently used to model texture in multidimen-sional data such as color images. For practical application, multispectral satellite data appear as a primary source for measuring past trends and monitoring changes in forest carbon stocks. In this work, we propose a texture-color descriptor based on the quaternion Fourier transform to extract relevant information from multiband satellite images. We propose a new multiband image texture model extraction, called FOTO++, in order to address biomass estimation issues. The first stage consists in removing noise from the multispectral data while preserving the edges of canopies. Afterward, color texture descriptors are extracted thanks to a discrete form of the quaternion Fourier transform, and finally the support vector regression method is used to deduce biomass estimation from texture indices. Our texture features are modeled using a vector composed with the radial spectrum coming from the amplitude of the quaternion Fourier transform. We conduct several experiments in order to study the sensitivity of our model to acquisition parameters. We also assess its performance both on synthetic images and on real multispectral images of Cameroo-nian forest. The results show that our model is more robust to acquisition parameters than the classical Fourier Texture Ordination model (FOTO). Our scheme is also more accurate for aboveground biomass estimation. We stress that a similar methodology could be implemented using quaternion wavelets. These results highlight the potential of the quaternion-based approach to study multispectral satellite images.
- Subjects :
- 0106 biological sciences
010504 meteorology & atmospheric sciences
Computer science
Multispectral image
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Color
01 natural sciences
General Biochemistry, Genetics and Molecular Biology
symbols.namesake
Wavelet
Image texture
Image Interpretation, Computer-Assisted
Sensitivity (control systems)
Biomass
Cameroon
Quaternion
ComputingMethodologies_COMPUTERGRAPHICS
0105 earth and related environmental sciences
General Environmental Science
Fourier Analysis
business.industry
[SDE.IE]Environmental Sciences/Environmental Engineering
Applied Mathematics
Pattern recognition
General Medicine
15. Life on land
Support vector machine
Philosophy
Fourier transform
symbols
Noise (video)
Artificial intelligence
Neural Networks, Computer
General Agricultural and Biological Sciences
business
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Algorithms
010606 plant biology & botany
Subjects
Details
- Language :
- English
- ISSN :
- 00015342 and 15728358
- Database :
- OpenAIRE
- Journal :
- Acta Biotheoretica, Acta Biotheoretica, Springer Verlag, 2018, 66 (1), pp.17-60. ⟨10.1007/s10441-018-9317-z⟩, Acta Biotheoretica, 2018, 66 (1), pp.17-60. ⟨10.1007/s10441-018-9317-z⟩
- Accession number :
- edsair.doi.dedup.....d81d4da52a1dba39c4f8dab767d77fcc