STUDI KOMPARASI METODE FUZZY ARTMAP DAN MULTILAYER PERCEPTRON UNTUK KLASIFIKASI PENGGUNAAN LAHAN MENGGUNAKAN CITRA ALOS AVNIR-2 (Kasus Sebagian Kabupaten Batang Jawa Tengah)
| Main Authors: | , FITRA SALEH, , Drs. Projo Danoedoro, M.Sc., Ph.D. |
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| Format: | Thesis NonPeerReviewed |
| Terbitan: |
[Yogyakarta] : Universitas Gadjah Mada
, 2014
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| Subjects: | |
| Online Access: |
https://repository.ugm.ac.id/130599/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=71025 |
Daftar Isi:
- Classification methods of digital image, which is currently approachable in integrating the information of land cover and land use, is a classification based on artificial neural network, such as Multilayer Percepton (MLP) and Fuzzy ARTMAP (FAM). These classifications are able to combine spectral and non-spectral data and not require a gaussian training area. The objectives of this study were