SAR AND OBLIQUE AERIAL OPTICAL IMAGE FUSION FOR URBAN AREA IMAGE SEGMENTATION
The fusion of synthetic aperture radar (SAR) and optical data is a dynamic research area, but image segmentation is rarely treated. While a few studies use low-resolution nadir-view optical images, we approached the segmentation of SAR and optical images acquired from the same airborne platform –...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2017-05-01
|
| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-1-W1/639/2017/isprs-archives-XLII-1-W1-639-2017.pdf |
| Summary: | The fusion of synthetic aperture radar (SAR) and optical data is a dynamic research area, but image segmentation is rarely treated. While
a few studies use low-resolution nadir-view optical images, we approached the segmentation of SAR and optical images acquired from
the same airborne platform – leading to an oblique view with high resolution and thus increased complexity. To overcome the geometric
differences, we generated a digital surface model (DSM) from adjacent optical images and used it to project both the DSM and SAR
data into the optical camera frame, followed by segmentation with each channel. The fused segmentation algorithm was found to
out-perform the single-channel version. |
|---|---|
| ISSN: | 1682-1750 2194-9034 |