Vegetation extraction from IKONOS imagery using high spatial resolution index

Chikr El-Mezouar, Miloud; Taleb, Nasreddine; Kpalma, Kidiyo; Ronsin, Joseph

doi:doi:10.1117/1.3624518

GENERAL INFORMATION

You are not logged in Logged Out Log In

Journal of Applied Remote Sensing / Volume 5 / Research Papers

Previous Article | Next Article

Vegetation extraction from IKONOS imagery using high spatial resolution index

J. Appl. Remote Sens. 5, 053543 (Aug 11, 2011); http://dx.doi.org/10.1117/1.3624518

Alerts
- Alert Me When Cited
- Alert Me When Corrected
Tools
Share
- Email Abstract
- Connotea
- CiteULike
- del.icio.us
- BibSonomy
- Tweet this Article
- Add to Facebook

Abstract

References (26)

Miloud Chikr El-Mezouar and Nasreddine Taleb

Djillali Liabes University of Sidi Bel Abbes, RCAM Laboratory, Department of Electronics,Sidi Bel Abbes, 22000, Algeria chikrelmezouar@univ-sba.dz; ne_taleb@univ-sba.dz

Kidiyo Kpalma, Joseph Ronsin,

UEB INSA IETR Groupe Image et Télédétection, CS 70839 35708 Rennes Cedex 7, France Kidiyo.Kpalma@insa-rennes.fr; Joseph.Ronsin@insa-rennes.fr

In vegetation change monitoring and urban planning, the measurement and mapping of the green vegetation over the Earth play an important role. The normalized difference vegetation index (NDVI) is the most popular measure to generate vegetation maps which resolution depends on that of the input images. High-resolution imagery can lead to better vegetation classification accuracy. Various methods are proposed to provide high spatial resolution vegetation indices based on a fusion concept. IKONOS produces high spatial resolution panchromatic (Pan) images and moderate spatial resolution multispectral (MS) images. Generally, for an image fusion purpose, the conventional bi-cubic interpolation scheme is used to resize MS images. Nevertheless, this scheme fails around edges and consequently produces blurred edges and annoying artifacts in interpolated MS images. To avoid this problem, an artifact-free image interpolation method is proposed. This study presents a modified NDVI that provides high spatial resolution maps which differentiate vegetated surfaces from other surfaces when using IKONOS imagery. This vegetation index (HRNDVI: high resolution NDVI) is based on a newly derived formula including high spatial resolution information from IKONOS. The HRNDVI is computed based on the resampled MS images and the Pan images. The proposed vegetation index takes advantage of both the high spatial resolution information of Pan images and the robustness of the interpolation technique. Visual and quantitative analysis demonstrates that this index appears promising and performs well in vegetation extraction and visualization.

History

Received Oct 08, 2010
Accepted Jul 15, 2011
Revised Jul 14, 2011
Published online Aug 11, 2011

Digital Object Identifier

http://dx.doi.org/10.1117/1.3624518

Citation

Miloud Chikr El-Mezouar, Nasreddine Taleb, Kidiyo Kpalma and Joseph Ronsin, "Vegetation extraction from IKONOS imagery using high spatial resolution index", J. Appl. Remote Sens. 5, 053543 (Aug 11, 2011); http://dx.doi.org/10.1117/1.3624518