Using Gradients, Alignment and Proximity to Extract Curves and Connect Roads in Overhead Images

PDF Version Also Available for Download.

Description

A robust approach for automatically extracting roads from overhead images is developed in this paper. The first step involves extracting a very dense set of edge pixels using a technique based on the magnitude and direction of pixel gradients. In step two, the edges are separated into successive channels of edge orientation that each contain edge pixels whose gradient directions lie within a different angular range. A de-cluttered map of edge curve segments is extracted from each channel, and the results are merged into a single composite map of broken edge curves. The final step divides broken curves into segments ... continued below

Physical Description

PDF-file: 14 pages; size: 2.4 Mbytes

Creation Information

Chen, B Y & Paglieroni, D W January 13, 2006.

Context

This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. More information about this article can be viewed below.

Who

People and organizations associated with either the creation of this article or its content.

Publisher

Provided By

UNT Libraries Government Documents Department

Serving as both a federal and a state depository library, the UNT Libraries Government Documents Department maintains millions of items in a variety of formats. The department is a member of the FDLP Content Partnerships Program and an Affiliated Archive of the National Archives.

Contact Us

What

Descriptive information to help identify this article. Follow the links below to find similar items on the Digital Library.

Description

A robust approach for automatically extracting roads from overhead images is developed in this paper. The first step involves extracting a very dense set of edge pixels using a technique based on the magnitude and direction of pixel gradients. In step two, the edges are separated into successive channels of edge orientation that each contain edge pixels whose gradient directions lie within a different angular range. A de-cluttered map of edge curve segments is extracted from each channel, and the results are merged into a single composite map of broken edge curves. The final step divides broken curves into segments that are nearly linear and classifies each segment as connected at both ends or disconnected. A measure of connectability between two disconnected line segments based on proximity and relative alignment is defined mathematically. Each disconnected segment is paired with the disconnected segment that it is most connectable to. Pairs of segments are merged if their separation and misalignment are below thresholds (manually specified at present) and the connectability of the pair is two-way optimal. Extended curve and road extraction examples are provided using commercial overhead images.

Physical Description

PDF-file: 14 pages; size: 2.4 Mbytes

Source

  • Presented at: SPIE Defense and Security Symposium: Optics and Photonics in Global Homeland Security, Orlando, FL, United States, Apr 17 - Apr 21, 2006

Language

Item Type

Identifier

Unique identifying numbers for this article in the Digital Library or other systems.

  • Report No.: UCRL-CONF-218522
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 889984
  • Archival Resource Key: ark:/67531/metadc875149

Collections

This article is part of the following collection of related materials.

Office of Scientific & Technical Information Technical Reports

What responsibilities do I have when using this article?

When

Dates and time periods associated with this article.

Creation Date

  • January 13, 2006

Added to The UNT Digital Library

  • Sept. 21, 2016, 2:29 a.m.

Description Last Updated

  • Dec. 2, 2016, 5:59 p.m.

Usage Statistics

When was this article last used?

Congratulations! It looks like you are the first person to view this item online.

Interact With This Article

Here are some suggestions for what to do next.

Start Reading

PDF Version Also Available for Download.

Citations, Rights, Re-Use

Chen, B Y & Paglieroni, D W. Using Gradients, Alignment and Proximity to Extract Curves and Connect Roads in Overhead Images, article, January 13, 2006; Livermore, California. (digital.library.unt.edu/ark:/67531/metadc875149/: accessed September 24, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.