KAJIAN AKURASI KLASIFIKASI BERBASIS OBJEK UNTUK EKSTRAKSI PENUTUP LAHAN DENGAN MENGGUNAKAN CITRA ALOS AVNIR-2
The most common and frequenly applied method in digital image classification for land cover mapping is multispectral classification. Multispectral classification use only spectral information to classify image by pixel as an unit analysis and ignore the spatial of the image. Object based classificat...
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| Main Authors: | , |
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| Format: | Theses and Dissertations NonPeerReviewed |
| Published: |
[Yogyakarta] : Universitas Gadjah Mada
2013
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| Subjects: | |
| Online Access: | https://repository.ugm.ac.id/121563/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=61651 |
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| Institution: | Universitas Gadjah Mada |
| Summary: | The most common and frequenly applied method in digital image classification
for land cover mapping is multispectral classification. Multispectral classification
use only spectral information to classify image by pixel as an unit analysis and
ignore the spatial of the image. Object based classification use spectral
information and spatial context for classification process.This study aimed to
assess :1) accuracy of object based classification when applied to a
heterogeneous landscape using spectral dimensión classification scheme and
spatial dimensión classification scheme |
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