An automated procedure for detection of IDP's dwellings using VHR satellite imagery

Malgorzata Jenerowicz; Thomas Kemper; Pierre Soille

doi:10.1117/12.898187

26 October 2011 An automated procedure for detection of IDP's dwellings using VHR satellite imagery

Malgorzata Jenerowicz, Thomas Kemper, Pierre Soille

Author Affiliations +

Proceedings Volume 8180, Image and Signal Processing for Remote Sensing XVII; 818004 (2011) https://doi.org/10.1117/12.898187
Event: SPIE Remote Sensing, 2011, Prague, Czech Republic

Abstract

This paper presents the results for the estimation of dwellings structures in Al Salam IDP Camp, Southern Darfur, based on Very High Resolution multispectral satellite images obtained by implementation of Mathematical Morphology analysis. A series of image processing procedures, feature extraction methods and textural analysis have been applied in order to provide reliable information about dwellings structures. One of the issues in this context is related to similarity of the spectral response of thatched dwellings' roofs and the surroundings in the IDP camps, where the exploitation of multispectral information is crucial. This study shows the advantage of automatic extraction approach and highlights the importance of detailed spatial and spectral information analysis based on multi-temporal dataset. The additional data fusion of high-resolution panchromatic band with lower resolution multispectral bands of WorldView-2 satellite has positive influence on results and thereby can be useful for humanitarian aid agency, providing support of decisions and estimations of population especially in situations when frequent revisits by space imaging system are the only possibility of continued monitoring.

Citation Download Citation

Malgorzata Jenerowicz, Thomas Kemper, and Pierre Soille "An automated procedure for detection of IDP's dwellings using VHR satellite imagery", Proc. SPIE 8180, Image and Signal Processing for Remote Sensing XVII, 818004 (26 October 2011); https://doi.org/10.1117/12.898187

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE