03349nam a2200397 4500 20260818114756.0 310898 th eng .b10030074 AIT Thesis no. CS-91-25 Pan, Rui A fuzzy pixel decomposition approach in the classification of remotely sensed data Bangkok : Asian Institute of Technology, 1991 85 p. Thesis ; no. CS-91-25 A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Enginering and Technology Thesis (M.Eng.) - Asian Institute of Technology, 1991 In conventional remote sensing classification, most classification results are represented in a one-pixel-one-class mapping in which a pixel is an indivisible minimum unit no matter whether it is class mixture pixel or not, which greatly and always limits the improvement of classification and boundary accuracies. This work describes a new classification approach of using fuzzy pixel decomposition algorithm to deal with the class mixture problem, where each pixel is represented as a fuzzy pixel and divided into non-fuzzy sub-pixels. The algorithm consists of two major steps: Pixel membership grade analysis, and Pixel decomposition, in which fuzzy set theory is applied for representing land cover membership grade for each pixel, neural network and statistical approaches are used for analyzing pixel class membership grade. Afterwards, each pixel is decomposed into sub-pixels, and the membership grades of neighboring pixels are used for identifying the-position of each sub-pixel. An idea of distance in neural network is presented, and a method of selecting minimum training data is also described in this work. Evaluations were made among conventional, neural network and pixel decomposition classifiers. The results of classifying TM and MOS-1 images in the areas of Thailand were presented and their accuracies were analyzed which showed the improvement in both classification and boundary accuracies as well as thematic map. The studies show that class mixture in a pixel can be identified, and the fuzzy pixel decomposition ·algorithm is a useful tool in improving final classification output of remotely sensed data. Land use Remote sensing Image processing Digital techniques Hosomura, Tsukasa, Chairperson Vilas Wuwongse, Examination Committee Zhao, Ming, Examination committee Government of Japan, Scholarship donor Asian Institute of Technology. Thesis ; no. CS-91-25 Full-Text http://203.159.5.9/ait-thesis/detail.php?q=B17347 .b10030074 mnait x 240409 2 951012 m a x 2 mnait mnarc 22 40 Barcode : 30050120677017 CREATED : 2013-11-22 RECORD # : i12749035 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : 30050120372742 CREATED : 2016-08-06 RECORD # : i13026501 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 48500 48500 0 0 0 0 MAIN MAIN mnait 2026-08-18 3.00 0 AIT Thesis no. CS-91-25 30050120677017 2026-08-18 11:47:56 3 2026-08-18 22 0 0 0 0 MAIN MAIN mnarc 2026-08-18 0 AIT Thesis no. CS-91-25 30050120372742 2026-08-18 11:47:56 2026-08-18 40