Wavelet - Domain Hyperspectral Soil Texture Classification
نویسندگان
چکیده
منابع مشابه
Spectral-spatial classification of hyperspectral images by combining hierarchical and marker-based Minimum Spanning Forest algorithms
Many researches have demonstrated that the spatial information can play an important role in the classification of hyperspectral imagery. This study proposes a modified spectral–spatial classification approach for improving the spectral–spatial classification of hyperspectral images. In the proposed method ten spatial/texture features, using mean, standard deviation, contrast, homogeneity, corr...
متن کاملSecond-Order Statistical Texture Representation of Asphalt Pavement Distress Images Based on Local Binary Pattern in Spatial and Wavelet Domain
Assessment of pavement distresses is one of the important parts of pavement management systems to adopt the most effective road maintenance strategy. In the last decade, extensive studies have been done to develop automated systems for pavement distress processing based on machine vision techniques. One of the most important structural components of computer vision is the feature extraction met...
متن کاملHyperspectral Imaging Analysis for the Classification of Soil Types and the Determination of Soil Total Nitrogen
Soil is an important environment for crop growth. Quick and accurately access to soil nutrient content information is a prerequisite for scientific fertilization. In this work, hyperspectral imaging (HSI) technology was applied for the classification of soil types and the measurement of soil total nitrogen (TN) content. A total of 183 soil samples collected from Shangyu City (People's Republic ...
متن کاملHyperspectral Image Classification Based on Structured Sparse Logistic Regression and 3D Wavelet Texture Features
Hyperspectral remote sensing imagery contains rich information on spectral and spatial distributions of distinct surface materials. Owing to its numerous and continuous spectral bands, hyperspectral data enables more accurate and reliable material classification than using panchromatic or multispectral imagery. However, high-dimensional spectral features and limited number of available training...
متن کاملA The Study of Hyperspectral Image Classification Based on Support Vector Machine
The remote sensing technique has been widely use on the field of land cover classification. Traditionally, image classification is based on per-pixel which with the spectral of object. This kind of method do not considerate the spatial relationship between neighbor of pixels. Therefore many of study were focus of utilizes the texture information to distinguish between spatial characteristic. It...
متن کامل