[图书][B] Signal and image processing for remote sensing
C Chen - 2007 - api.taylorfrancis.com
Both signal processing and image processing are playing increasingly important roles in
remote sensing. As most data from satellites are in image form, image processing has been …
remote sensing. As most data from satellites are in image form, image processing has been …
Unsupervised amplitude and texture classification of SAR images with multinomial latent model
K Kayabol, J Zerubia - IEEE Transactions on Image Processing, 2012 - ieeexplore.ieee.org
In this paper, we combine amplitude and texture statistics of the synthetic aperture radar
images for the purpose of model-based classification. In a finite mixture model, we bring …
images for the purpose of model-based classification. In a finite mixture model, we bring …
Effects of COVID-19 on variations of taxpayers in tourism-reliant regions: the case of the Mexican Caribbean
O Cruz-Milan, S Lagunas-Puls - Journal of Risk and Financial …, 2021 - mdpi.com
Given the tourism industry's risk and vulnerability to pandemics and the need to better
understand the impacts on tourism destinations, this research assesses the effect of the …
understand the impacts on tourism destinations, this research assesses the effect of the …
Particle filter sample texton feature for SAR image classification
C He, T Zhuo, S Zhao, S Yin… - IEEE geoscience and …, 2015 - ieeexplore.ieee.org
This letter presents a novel approach to learning the correct sampling positions by
introducing a particle filter. A filtering, labeling, and statistics framework we previously …
introducing a particle filter. A filtering, labeling, and statistics framework we previously …
Classification of very high resolution SAR images of urban areas by dictionary-based mixture models, copulas, and Markov random fields using textural features
This paper addresses the problem of the classification of very high resolution (VHR) SAR
amplitude images of urban areas. The proposed supervised method combines a finite …
amplitude images of urban areas. The proposed supervised method combines a finite …
SAR image classification with non-stationary multinomial logistic mixture of amplitude and texture densities
K Kayabol, A Voisin, J Zerubia - 2011 18th IEEE International …, 2011 - ieeexplore.ieee.org
We combine both amplitude and texture statistics of the Synthetic Aperture Radar (SAR)
images using Products of Experts (PoE) approach for classification purpose. We use Nak …
images using Products of Experts (PoE) approach for classification purpose. We use Nak …
Resultados de la recaudación del impuesto a las nóminas en el caribe mexicano: gestión presidencial 2018-2019
SL Puls, BT Rocha Martínez - Revista de Métodos Cuantitativos para la …, 2023 - econstor.eu
Se analiza si la administración presidencial de México, iniciada en diciembre 2018, con
políticas económicas antineoliberales, ha repercutido y en qué magnitud respecto a la …
políticas económicas antineoliberales, ha repercutido y en qué magnitud respecto a la …
High resolution SAR-image classification by Markov random fields and finite mixtures
In this paper we develop a novel classification approach for high and very high resolution
polarimetric synthetic aperture radar (SAR) amplitude images. This approach combines the …
polarimetric synthetic aperture radar (SAR) amplitude images. This approach combines the …
[PDF][PDF] 基于SISE 方程的广义gamma 分布参数估计方法
秦先祥， 高贵， 周石琳， 邹焕新 - 电子与信息学报, 2012 - jeit.ac.cn
广义gamma 分布(GD) Γ 是近年来用于SAR 图像统计建模重要分布之一,
参数估计是制约其应用的核心问题. 该文提出了一种新的* GD Γ 参数估计方法. 首先分析了* GD …
参数估计是制约其应用的核心问题. 该文提出了一种新的* GD Γ 参数估计方法. 首先分析了* GD …