Wavelet based Soil Analysis and Characteristics

摘要

A wavelet based feature extraction method was developed and its application to aerial photographic images on Pleistocene-age glacial deposits in west-central Ohio is investigated. Energy calculation is used to correlate surficial soil properties and characteristics. In our approach, four regions of interest (cultural areas, hydrographic areas, vegetative areas, and bare soil surface areas) are extracted. The method is therefore expected to enhance image analysis of surficial soil images. Multiresolution Analysis (MRA) allows the multiscale analysis of images and thus the extracted edges and textures of the images. The wavelet transforms enable the modeling of information at different characteristic scales. We show that the proposed method extracts certain texture features. The method is therefore expected to enhance image analysis of surficial soil characteristic studies.