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Details van artikel 221 van 250 gevonden artikelen
| Titel: |
Textural Classification of Single Band SIR-B Data over a Part of Brahmaputra Basin, India |
| Auteur: |
Majumdar, Tapan Jyoti Mohanty, Kamini Kanta |
| Verschenen in: |
Geocarto international |
| Paginering: | Jaargang 14 (1999) nr. 2 pagina's 62-68 |
| Jaar: |
1999-06 |
| Inhoud: |
Texture is an important spatial feature, useful for identfying objects of regions of interest in an image. There are a number of methods for identification of textural parameters e.g. edgeness, frequency domain analysis, gray tone cooccurrence approach etc. Geologic information in radar images of heavily vegetated areas is contained mostly in the depiction of topography in image texture. Single band SIR/ERS-1 SAR data posses a problem to the analyst for classification of the various land use/geological classes and generally multidate SAR data are used due to paucity of more number of bands. However, the multidate SAR data classification is not an ideal technique. A new technique, namely, spatial frequency band pass classification technique which generates two or more bands in the Fourier domain using the single band SAR data and then classifies various features of interest using their textural properties has been described here. Result shows higher percentage of classification using Maximum-Likelihood Classifier (MXL) with two split-band data as compared to the unsupervised classification of all the bands. |
| Uitgever: |
Taylor & Francis |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 221 van 250 gevonden artikelen
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