| Author | Ou, Lien-wei |
| Call Number | AIT Thesis no. CS-92-20 |
| Subject(s) | Image processing--Digital techniques--Remote sensing
|
| Note | A thesis submitted in partial fulfillment of the requirements for
the degree of Master of Engineering, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Abstract | This study combines the pyramid segmentation techniques with
binary decision tree algorithm to create accurate and more
efficient methods for supervised classification of multispectral
images. First, three basic discriminant methods were implemented,
namely, maximum likelihood function (MLD), best linear discriminant
function (BLD) and then binary decision tree (BDT) is introduced,
where the BLD is utilized as a decision rule . Experiments indicate
that the decision tree method significantly improves upon the
efficiency of classification and also gives satisfactory
classification accuracy.
Based on these three discriminant functions, pyramid
segmentation techniques are applied as the preprocessing procedure.
The performance of classification is also obviously improved. Two
new pyramid segmentation techniques homogeneous nonoverlap
pyramid and efficient overlap pyramid method - are introduced in
this study. Both of them much reduce the preprocessing time
compared to the conventional overlap pyramid segmentation method
and also produce more similar segmented data to the original image.
In addition, they can be used as real-time application combined
with MLD and BLD, to reduce the storage space and increase the
processing speed.
All proposed methods have been applied to the MOS-1 (Marine
Observation Satellite) multispectral images of Bangkok and
Chiangmai are a, and good results have been obtained. It is shown
that pyramid segmentation coii1bined with binary decision tree
classifier is an attractive method for the classification of
multispectral images. |
| Year | 1992 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Computer Science (CS) |
| Chairperson(s) | Hosomura, Tsukasa |
| Examination Committee(s) | Huynh Ngoc Phien ;Sadananda, Ramakoti |
| Scholarship Donor(s) | The R.O.C. Government ; |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 1992 |