Object detection from HS/MS and multi-platform remote-sensing imagery by the integration of biologically and geometrically inspired approaches

Bo Wu, Yuan Zhou, Lin Yan, Jiangye Yuan, Ron Li, De Liang Wang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

7 Citations (Scopus)

Abstract

This paper presents a system that integrates biologically and geometrically inspired approaches to detecting objects from hyperspectral and/or multispectral (HS/MS), multiscale, multiplatform imagery. First, dimensionality reduction methods are studied and used for hyperspectral dimensionality reduction. Then, a biologically inspired method, S-LEGION (Spatial - Locally Excitatory Globally Inhibitory Oscillator Network), is developed to perform object detection on the multispectral and dimension-reduced hyperspectral data, which provides rough object shapes. Thereafter, a geometrically inspired method, GAC (geometric active contour), is employed for refining object boundary detection on the high-resolution imagery based upon the initial object shapes provided by S-LEGION. A geospatial database is compiled and used for experimental analysis that includes data from a selected test site at Silver Lake in the Mojave Desert, California. Multispectral (Landsat TM 4-5) and hyperspectral (EO-1) satellite imagery, high-resolution satellite imagery (IKONOS), and descent images and ground stereo images are included in this database. This paper presents the first year results of a two-year research project.
Original languageEnglish
Title of host publicationAmerican Society for Photogrammetry and Remote Sensing Annual Conference 2009, ASPRS 2009
Pages894-900
Number of pages7
Volume2
Publication statusPublished - 1 Dec 2009
Externally publishedYes
EventAmerican Society for Photogrammetry and Remote Sensing Annual Conference 2009, ASPRS 2009 - Baltimore, MD, United States
Duration: 9 Mar 200913 Mar 2009

Conference

ConferenceAmerican Society for Photogrammetry and Remote Sensing Annual Conference 2009, ASPRS 2009
Country/TerritoryUnited States
CityBaltimore, MD
Period9/03/0913/03/09

ASJC Scopus subject areas

  • Information Systems
  • Computers in Earth Sciences

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