Multisource classification for land-use mapping based on spectral, textural, and terrain information using landsat thematic mapper imagery: A Case Study of Semarang-Ungaran Area, Central Java
Automatic classification of remotely sensed digital data is recognised as a robust and efficient method for mapping various land-cover types over a large area. However when more abstract concept such as land-use is required the automatic classification methods cannot be fully useful. This is due to...
Main Author: | Perpustakaan UGM, i-lib |
---|---|
Format: | Article |
Published: |
[Yogyakarta] : Universitas Gadjah Mada
2003
|
Subjects: |
Similar Items
-
Koreksi Pengaruh Lereng Terhadap Nilai Spektral Tanaman Karet Pada Citra Landsat Thematic Mapper = Correction of Slope Influence in Spectral Values of Rubber Plantation On Landsat Thematic Mapper Image
by: Perpustakaan UGM, i-lib
Published: (2002) -
KARAKTERISTIK SPEKTRAL TANAMAN PADI VARIETAS UNGGUL DALAM FASE PERTUMBUHAN PADA DATA DIGITAL LANDSAT THEMATIC MAPPER (THE SPECTRAL CHARACTERISTICS OF PADDY ON THE GROWTH PHASE ON LANDSAT THEMATIC MAPPER DIGITAL DATA)
by: Perpustakaan UGM, i-lib
Published: (2001) -
Automatic lineament extraction in a heavily vegetated region using landsat enhanced thematic mapper (ETM+) imagery
by: Hashim, Mazlan, et al.
Published: (2013) -
Comparison of Classification Algorithms and Training Sample Sizes in Urban Land Classification with Landsat Thematic Mapper Imagery
by: Congcong Li, et al.
Published: (2014-01-01) -
Enhancement of landsat thematic mapper imagery for residual soil mapping in SW Minas Gerais State, Brazil: a prospecting case history in Greenstone Belt Terrain/
by: 496130 Crosta, Alvaro P., et al.