| Paper: | MP-P2.2 |
| Session: | Morphological, Level-Set, and Edge or Color Image/Video Segmentation |
| Time: | Monday, September 17, 14:30 - 17:10 |
| Presentation: |
Poster
|
| Title: |
MORPHOLOGICAL PROCESSING OF SEVERELY OCCLUDED DIGITAL ELEVATION IMAGES TO EXTRACT AND CONNECT STREAM CHANNELS |
| Authors: |
Hyun-chong Cho; University of Florida | | |
| | K. Clint Slatton; University of Florida | | |
| Abstract: |
Recent advances in technology have enabled the acquisition of high-resolution topographic data by means of Airborne Laser Swath Mapping (ALSM), which can yield Digital Elevation Models (DEMs) with horizontal resolutions of 1m. A DEM is a grayscale image wherein pixel value corresponds to elevation. Using ALSM imaging systems over forested terrain, we filter out the laser returns from the occluding foliage and estimate bare-surface DEMs. Extracting stream networks from DEMs is important for modeling many hydrological processes. We apply a sequence of morphological operations to an ALSM DEM to detect stream channels in forested terrain. We verify the accuracy of the results using a set of error measures over simulated terrain and also using GPS ground truth over real terrain. For linking disconnected stream segments, a measure of pixel connectedness is used. |
