Skip all navigation and jump to content Jump to site navigation
NASA Logo - Goddard Space Flight Center

+ NASA Homepage

    
Goddard Space Flight Center
About MODIS News Data Tools /images2 Science Team Science Team Science Team

   + Home
ABOUT MODIS
MODIS Publications Link
MODIS Presentations Link
MODIS Biographies Link
MODIS Science Team Meetings Link
 

 

 

Arvind, CS; Vanjare, A; Omkar, SN; Senthilnath, J; Mani, V; Diwakar, PG (2013). Multi-temporal Satellite Image Analysis Using Unsupervised Techniques. ADVANCES IN COMPUTING AND INFORMATION TECHNOLOGY, VOL 2, 177, 757-765.

Abstract
This paper presents flood assessment using non-parametric techniques for multi-temporal time series MODES (Moderate Resolution Imaging Spectro radiometer) satellite images. The unsupervised methods like mean shift algorithm and median cut are used for automatic extraction of water pixel from the image. The extracted results presents a comparative study of unsupervised image segmentation methods. The performance evaluation indices like root mean square error and receiver operating characteristics are used to study algorithm performance. The result reported in this paper provides useful information for multi-temporal time series image analysis which can be used for current and future research.

DOI:
978-3-642-31551-0

ISSN:
2194-5357

FirstGov logo Privacy Policy and Important Notices NASA logo

Curator: Brandon Maccherone
NASA Official: Shannell Frazier

NASA Home Page Goddard Space Flight Center Home Page