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...
| Glavni autor: | |
|---|---|
| Format: | Članak |
| Izdano: |
[Yogyakarta] : Universitas Gadjah Mada
2003
|
| Teme: |