Full-Text Search:
Home|About CNKI|User Service|中文
Add to Favorite Get Latest Update

Classification of ground-based cloud image based on wavelet transform and texture analysis

Chen Jinyuan;Gao Taichang;Liu Lei;Han Wenyu;PLA University of Science and Technology;  
Cloud type is one of the three elements of cloud observations.And correct identification of cloud type will have a help for analyzing the state of atmospheric motion,providing an important basis for the weather forecast.This paper introduces a preliminary research on cloud classification for wholesky infrared images by means of the method of image processing.The required characteristic parameters for cloud classification are extracted based on the wavelet transform and texture analysis(GLCM).Then,the suitable classifier for cloud classification is designed and built.The analysis and research work show that comparing a single texture analysis method with the wavelet transform and texture analysis method for the recognition of selected all-sky infrared cloud,the latter has a higher accuracy rate.
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©CNKI All Rights Reserved