 |
| Titel |
Brief Communication: Contrast-stretching- and histogram-smoothness-based synthetic aperture radar image enhancement for flood map generation |
| VerfasserIn |
F. Nazir, M. M. Riaz, A. Ghafoor, F. Arif |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1561-8633
|
| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Sciences ; 15, no. 2 ; Nr. 15, no. 2 (2015-02-05), S.273-276 |
| Datensatznummer |
250119317
|
| Publikation (Nr.) |
 copernicus.org/nhess-15-273-2015.pdf |
|
|
|
|
|
| Zusammenfassung |
| Synthetic-aperture-radar-image-based flood map generation is usually a
challenging task (due to degraded contrast). A three-step approach (based on
adaptive histogram clipping, histogram remapping and smoothing) is proposed
for generation of a more visualized flood map image. The pre- and post-flood
images are adaptively histogram equalized. The hidden details in difference
image are enhanced using contrast-based enhancement and histogram smoothing.
A fast-ready flood map is then generated using equalized pre-, post- and
difference images. Results (evaluated using different data sets) show
significance of the proposed technique. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|