Detecting and counting vehicles from high resolution satellite imagery

Research output: Contribution to book or proceedingConference articlepeer-review

3 Scopus citations

Abstract

In this paper an approach for the detection, classification, and counting of vehicles from satellite images is presented. The images are 1-m panchromatic from the IKONOS satellite and contain highway scenes from different places in the United States. The approach is based on segmentation and it is divided in two parts. In the first part, the bright vehicles are detected using multiple threshold techniques. The second part detects the dark vehicles and it is based on the Otsu method. After all the vehicles are detected, the algorithm classifies them as trucks or cars. The approach is explained in detail, and the results are presented, as well as the shortcomings and future directions for improvement.

Original languageEnglish
Title of host publicationProceedings of the IASTED International Conference on Circuits, Signals, and Systems
EditorsM.H. Rashid
Pages300-305
Number of pages6
StatePublished - 2004
EventProceedings of the IASTED International Conference on Circuits, Signals, and Systems - Clearwater Beach, FL, United States
Duration: Nov 28 2004Dec 1 2004

Publication series

NameProceedings of the IASTED International Conference on Circuits, Signals, and Systems

Conference

ConferenceProceedings of the IASTED International Conference on Circuits, Signals, and Systems
Country/TerritoryUnited States
CityClearwater Beach, FL
Period11/28/0412/1/04

Scopus Subject Areas

  • General Engineering

Keywords

  • High resolution satellite data
  • IKONOS
  • Image segmentation

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