Optimizing the binary discriminant function in change detection applications

Using Classic Discriminant Analysis and Detection Function for Separation of Chemical Victims in Sardasht City to Exposed and Non Exposure Mustard Groups in 2013 and Comparison with Logistic Regression

Land Cover Subpixel Change Detection using Hyperspectral Images Based on Spectral Unmixing and Post-processing

  The earth is continually being influenced by some actions such as flood, tornado and human artificial activities. This process causes the changes in land cover type. Thus, for optimal management of the use of resources, it is necessary to be aware of these changes. Today’s remote sensing plays key role in geology and environmental monitoring by its high resolution, wide covering and low cost...

Pinpointing the classifiers of English language writing ability: A discriminant function analysis approach

The  major  aim  of  this  paper  was  to  investigate  the  validity  of  language  and intelligence  factors  for  classifying  Iranian  English  learners`  writing  performance. Iranian  participants  of  the  study  took  three  tests  for  grammar,  breadth,  and  depth  of vocabulary, and two tests for verbal and narrative intelligence. They also produced a corpus  of  argumentative  writ...

Online Monitoring and Fault Diagnosis of Multivariate-attribute Process Mean Using Neural Networks and Discriminant Analysis Technique

In some statistical process control applications, the process data are not Normally distributed and characterized by the combination of both variable and attributes quality characteristics. Despite different methods which are proposed separately for monitoring multivariate and multi-attribute processes, only few methods are available in the literature for monitoring multivariate-attribute proce...

Change detection from satellite images based on optimal asymmetric thresholding the difference image

As a process to detect changes in land cover by using multi-temporal satellite images, change detection is one of the practical subjects in field of remote sensing. Any progress on this issue increase the accuracy of results as well as facilitating and accelerating the analysis of multi-temporal data and reducing the cost of producing geospatial information. In this study, an unsupervised chang...