Automatic alignment of vector data and orthoimagery for the national map
By: C.A. Knoblock, C. Shahabi, C.-C. Chen, and E.L. Usery
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Abstract
A general problem in combining road vector data with orthoimagery from different sources is that they rarely align. There are a variety of causes to this problem, but the most common one is that the latest products are collected with higher accuracy and improved processing techniques. In previous work, we developed techniques to automatically correct the alignment of vector data with orthoimagery using a technique called conflation. However, in applying our technique to real-world datasets provided by USGS, we discovered that these techniques failed in some areas. In this paper, we describe some refinements to our original approach that provide consistently better results in aligning the vector data with the orthoimagery.
| Publication type | Conference Paper |
|---|---|
| Publication Subtype | Conference Paper |
| Title | Automatic alignment of vector data and orthoimagery for the national map |
| DOI | 10.1145/1146598.1146680 |
| Volume | 151 |
| Year Published | 2006 |
| Language | English |
| Larger Work Title | ACM International Conference Proceeding Series |
| First page | 303 |
| Last page | 304 |
| Conference Title | 7th Annual International Conference on Digital Government Research, Dg.o 2006 |
| Conference Location | San Diego, CA |
| Conference Date | 21 May 2006 through 24 May 2006 |
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