JOURNAL ARTICLE

Coastal mapping and change detection using high-resolution IKONOS satellite imagery

Kaichang DiRuijin MaJue WangRon Li

Year: 2003 Journal:   International Conference on Digital Government Research Pages: 1-4

Abstract

Shoreline mapping and shoreline change detection are critical in many coastal zone applications. This paper presents results of the semi-automatic mapping of a coastal area of Lake Erie using 4-meter resolution multispectral (XS) and 1-meter resolution panchromatic (Pan) IKONOS Geo stereo images. An overview of the geometric processing of IKONOS imagery is presented. Then, the latest results of our IKONOS geopositioning accuracy improvement efforts are reported. Subsequently, methods and results of automatic generation of a Digital Elevation Model (DEM) and an orthoimage are outlined. Finally, a novel approach for the automatic extraction of a 3D shoreline from IKONOS images is described. Test results show that the proposed approach is capable of extracting shorelines from IKONOS images with little human interaction. The accuracies of the extracted shorelines from 4m XS and 1 m Pan stereo images are estimated to be 8.5m and 2-3m, respectively.

Keywords:
Panchromatic film Orthophoto Multispectral image Remote sensing Shore Change detection Satellite Image resolution Computer science Satellite imagery Artificial intelligence Geology Engineering

Metrics

27
Cited By
0.93
FWCI (Field Weighted Citation Impact)
10
Refs
0.70
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Remote Sensing and LiDAR Applications
Physical Sciences →  Environmental Science →  Environmental Engineering
Satellite Image Processing and Photogrammetry
Physical Sciences →  Engineering →  Ocean Engineering
Oil Spill Detection and Mitigation
Physical Sciences →  Environmental Science →  Pollution

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