EMAIL: PASSWORD:
Front Office
UPT. PERPUSTAKAAN
Institut Teknologi Sepuluh Nopember Surabaya


Kampus ITS Sukolilo - Surabaya 60111

Phone : 031-5921733 , 5923623
Fax : 031-5937774
E-mail : libits@its.ac.id
Website : http://library.its.ac.id

Support (Customer Service) :
timit_perpus@its.ac.id




Welcome..guys!

Have a problem with your access?
Please, contact our technical support below:
LIVE SUPPORT


Moh. Fandika Aqsa


Davi Wahyuni


Tondo Indra Nyata


Anis Wulandari


Ansi Aflacha




ITS » Master Theses » Pengindraan Jauh S2
Posted by dunia_zone@ymail.com at 02/07/2010 10:13:24  •  4370 Views


KLASIFIKASI CITRA DENGAN MENGGUNAKAN METODE FUZZY LOGIC PADA CITRA IKONOS MULTI SPEKTRAL

IMAGE CLASSIFICATION BY USING FUZZY LOGIC METHOD IN MULTI SPECTRAL IKONOS

Author :
SINGGIH PURWANTO, MOH ( 3107 204 003 )




ABSTRAK

Klasifikasi citra dalam penginderaan jauh merupakan kegiatan mengkaji citra dengan maksud untuk mengindentifikasi objek dan menilai arti pentingnya objek tersebut. Dalam mengindentifikasi objek tersebut ditemukan faktor-faktor ketidakpastian karena itu perlu adanya suatu metode yang dapat digunakan untuk menentukan jenis objek tersebut. Metode fuzzy logic sangat efektif untuk menjelaskan faktor-faktor ketidakpastian dalam proses mengindentifikasi suatu objek di citra dimana objek tersebut merupakan daerah tutupan lahan dimana faktor-faktor ketidakpastian tersebut merupakan hal yang sering muncul. Dengan metode fuzzy faktor-faktor ketidakpastian dalam menentukan jenis objek pada tutupan lahan dapat diperhitungkan sehingga dapat mengurangi kesalahan dalam menentukan suatu objek. Tujuan yang diharapkan dalam penelitian ini dapat membantu dalam menentukan jenis objek pada Klasifikasi citra. Dalam penelitian ini diawali dengan menentukan unsur apa saja yang termasuk dalam Klasifikasi citra kemudian langkah berikutnya membuat permodelan dengan menggunakan metode fuzzy logic setelah itu membuat algoritma dalam menentukan hasil akhir dengan menggunakan bahasa pemrograman Visual Basic dan Microsoft Acces. Hasil yang telah dibangun ini mampu menganalisa jenis klasifikasi objek pada citra berdasarkan 6 kunci klasifikasi citra yang tampak pada citra tetapi hanya dibatasi 10 jenis obyek yaitu sawah sungai gudang rumah drainase tambak gedung tanah kosong rawa dan kolam air.


ABSTRACT

Image classification in far sensing was an activity to analyze image in order to identify object and to assess the importance of it. In identifying the object some uncertainty factors were found therefore a method which could be used to identify the type of object was needed. Fuzzy logic method was very effective in explaining uncertainty factors in process of identifying any object on image where the object was closing area and where the uncertainty factors often found. By fuzzy method uncertainty factors in defining object type on the closing area could be calculated thus minimizing errors in determining an object. Purpose of the research was to assist in determining object type on image classification. The research was started by determining what elements were including in Image Classification and the next step was creating a model by using fuzzy logic method and then making algorithm by determining final result by using Visual Basic and Microsoft Access programming languages. The result obtained was able to analyze type of object classification on image based on 6 image classification keys which appear on the image but only limited to 10 object types rice field river building warehouse house drainage dike empty land marsh and pond



KeywordsKlasifikasi Citra; Fuzzy Logic; Ikonos; Tutupan Lahan
 
Subject:  Pengolahan gambar
Contributor
  1. Dr.Ir.M.Taufik
  2. Dr.Ing.Ir.Teguh H.,M.Sc
Date Create: 02/07/2010
Type: Text
Format: pdf.
Language: Indonesian
Identifier: ITS-Master-3100010037453
Collection ID: 3100010037453
Call Number: RTS 006.42 Pur k


Source
Master Theses, Civil Engineering, RTS 006.42 Pur k, 2010

Rights
Copyright @2010 by ITS Library. This publication is protected by copyright and permission should be obtained from the ITS Library prior to any prohibited reproduction, storage in a retrievel system, or transmission in any form or by any means, electronic, mechanical, photocopying, recording, or likewise. For information regarding permission(s), write to ITS Library




[ Download - Open Access ]

  1.  ITS-Master-11878-3107204003-Abstract_id.pdf - 9 KB
  2.  ITS-Master-11878-3107204003-Abstract_en.pdf - 9 KB
  3.  ITS-Master-11878-3107204003-Conclusion.pdf - 9 KB




 Similar Document...




! ATTENTION !

To facilitate the activation process, please fill out the member application form correctly and completely

Registration activation of our members will process up to max 24 hours (confirm by email). Please wait patiently

POLLING

Bagaimana pendapat Anda tentang layanan repository kami ?

Bagus Sekali
Baik
Biasa
Jelek
Mengecewakan





You are connected from 54.162.250.227
using CCBot/2.0 (http://commoncrawl.org/faq/)



Copyright © ITS Library 2006 - 2017 - All rights reserved.
Dublin Core Metadata Initiative and OpenArchives Compatible
Developed by Hassan