Jurnal SINTA 2
Klasifikasi Citra Satelit Menggunakan Kombinasi Fitur Warna Dan Fitur Tekstur
Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK) · Vol. 2 No. 2 (2015) · pp. 102–109
- ISSN
- 2528-6579, 2355-7699
- Published
- 2015-07-22
- Publisher
- Fakultas Ilmu Komputer, Universitas Brawijaya
- Language
- en
Abstract
AbstrakPenelitian tentang klasifikasi citra satelit untuk mengklasifikasikan citra dalam kelompok tertentu sedang mengalami perkembangan. Terdapat masalah yang disebabkan oleh kesalahan yang dilakukan saat ekstraksi fitur. Pada penelitian ini, peneliti mengusulkan metode baru yang dapat digunakan untuk klasifikasi citra melalui ekstraksi fitur berupa fitur warna yang menggunakan tranformasi model warna YUV dan fitur tekstur menggunakan fungsi Gabor. Untuk klasifikasi, peneliti menggunakan Fuzzy Support Vector Machine dalam menghindari adanya daerah yang tidak dapat terklasifikasi pada metode SVM. Terdapat tiga kelas untuk klasifikasi, yaitu kelas pertanian, kelas pemukiman, dan kelas perairan. Pengujian dilakukan terhadap citra satelit dengan ukuran 256 x 256 piksel serta data latih sebanyak 450 data dengan ukuran 16 x 16 piksel. Hasil pengujian menunjukkan bahwa metode yang diusulkan peneliti dapat melakukan klasifikasi data citra dengan tingkat akurasi yang didapatkan melebihi 80%.Kata kunci: Citra Satelit, Transformasi Citra, Fungsi Gabor, Fuzzy Support Vector MachineAbstractResearch on the satellite image classification for grouping pixels in an image into a number of classes, so that each class can describe an entity with certain characteristics. Problems caused by errors in feature extraction or by image degradation can occur in the classification process. In this study, a new method is proposed for image classification by extracting features such as color features using a YUV color model transformation and texture features using Gabor functions. For the classification process, we use the Fuzzy Support Vector Machine to avoid unclassifiable regions in SVM method. There are three classes who used in this study, namely agricultural land, residential area, and water area. The test carried out on the satellite image size 256x256 pixels with a total number of 450 training data size 16x16 pixel image data. Tests carried out to classify images into 3 classes. Experimental results show that the proposed method is able to classify the data with an accuracy rate above 80%.Keywords: Satellite Imagery, Image Transformation, Gabor functions, Fuzzy Support Vector Machine
Collaboration network of the authors
40 authors · 98 co-authorship links · 43 across different organisations
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- University of Brawijaya
- National Research and Innovation Agency
- Indonesian Institute of Sciences
- Institut Teknologi, Sains, dan Kesehatan RS.DR. Soepraoen Kesdam V/BRW
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Imam Cholissodin | University of Brawijaya | 3 |
| Nanang Yudi Setiawan | University of Brawijaya | 2 |
| Vicky Zilvan | Indonesian Institute of Sciences | 2 |
| Asri Rizki Yuliani | Indonesian Institute of Sciences | 2 |
| Ade Ramdan | Indonesian Institute of Sciences | 2 |
| Tibyani Tibyani | University of Brawijaya | 2 |
| Hilman Ferdinandus Pardede | National Research and Innovation Agency | 2 |
| Nur Laita Rizki Amalia | University of Brawijaya | 1 |
| Candra Dewi | University of Brawijaya | 1 |
| Nurul Hidayat | University of Brawijaya | 1 |
| Rina Christanti | University of Brawijaya | 1 |
| Budi Darma Setiawan | University of Brawijaya | 1 |
| Farhanna Mar’i | University of Brawijaya | 1 |
| Rizal Arif Zulfikar | University of Brawijaya | 1 |
| I Putu Pradnyana Iswara | University of Brawijaya | 1 |
| Irvi Oktanisa | University of Brawijaya | 1 |
| Aditya Hari Bawono | University of Brawijaya | 1 |
| Nabila Divanadia Luckyana | University of Brawijaya | 1 |
| Yusi Tyroni Mursityo | University of Brawijaya | 1 |
| Yustinus Radityo Pradana | University of Brawijaya | 1 |
| Komang Candra Brata | University of Brawijaya | 1 |
| Santi Yunika Sufiana | University of Brawijaya | 1 |
| Mochammad Izzuddin | University of Brawijaya | 1 |
| Syaiful Anam | University of Brawijaya | 1 |
| Onky Prasetyo | University of Brawijaya | 1 |
| R. Budiarianto Suryo Kusumo | National Research and Innovation Agency | 1 |
| Satrio Hadi Wijoyo | University of Brawijaya | 1 |
| Abdul Harris Wicaksono | University of Brawijaya | 1 |
| Didik Krisnandi | National Research and Innovation Agency | 1 |
| Ana Heryana | National Research and Innovation Agency | 1 |
| Fawwaz Roja Mahardika | University of Brawijaya | 1 |
| Raden Sandra Yuwana | National Research and Innovation Agency | 1 |
| Endang Suryawati | National Research and Innovation Agency | 1 |
| Muhammad Aminul Akbar | University of Brawijaya | 1 |
| Carlista Naba | University of Brawijaya | 1 |
| Wahyu Teja Kusuma | Institut Teknologi, Sains, dan Kesehatan RS.DR. Soepraoen Kesdam V/BRW | 1 |
| Herman Tolle | University of Brawijaya | 1 |
| Mochammad Isa Anshori | Institut Teknologi, Sains, dan Kesehatan RS.DR. Soepraoen Kesdam V/BRW | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.