03785nam a2200433 4500 20260818145146.0 040698 th eng .b10395192 AIT Thesis no. CS-92-20 Ou, Lien-wei Land use classification based on the combination of binary decision tree and pyramid segmentation techniques Bangkok : Asian Institute of Technology, 1992 80 leaves Thesis ; no. CS-92-20 A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Engineering and Technology Thesis (M.Eng.) - Asian Institute of Technology, 1992 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 Observ ation 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. Image processing Digital techniques Remote sensing Hosomura, Tsukasa, Chairperson Huynh, Ngoc Phien, Examination Committee Sadananda, Ramakoti, Examination Committee The R.O.C. Government, Scholarship Donor Asian Institute of Technology. Thesis ; no. CS-92-20 Full-Text http://203.159.5.9/ait-thesis/detail.php?q=B16631 .b10395192 mnait v 250325 2 951012 m a v 0 mnait mnait mnarc mnarc 20 40 Barcode : 30050003100731 CREATED : 1994-05-17 RECORD # : i10493943 LPATRON : 1019910 LCHKIN : 2007-06-04 # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 1 TOT RENEW : 0 Barcode : 30050003100749 CREATED : 1994-05-17 RECORD # : i10493955 LPATRON : 1025994 LCHKIN : 2016-11-20 # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 1 TOT RENEW : 0 Barcode : 30050120357321 CREATED : 2016-10-06 RECORD # : i13032586 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : 30050120915060 CREATED : 2019-11-21 RECORD # : i13231546 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 68121 68121 0 0 0 0 MAIN MAIN mnait 2026-08-18 0 AIT Thesis no. CS-92-20 30050003100731 2026-08-18 14:51:46 1 2026-08-18 20 0 0 0 0 MAIN MAIN mnait 2026-08-18 0 AIT Thesis no. CS-92-20 30050003100749 2026-08-18 14:51:46 2 2026-08-18 20 0 0 0 0 MAIN MAIN mnarc 2026-08-18 0 AIT Thesis no. CS-92-20 30050120357321 2026-08-18 14:51:46 2026-08-18 40 0 0 0 0 MAIN MAIN mnarc 2026-08-18 50.00 0 AIT Thesis no. CS-92-20 30050120915060 2026-08-18 14:51:46 3 2026-08-18 20