Senthilnath, J and Omkar, SN and Mani, V and Vanjare, Ashoka and Diwakar, PG (2012) Multi-Temporal Satellite Image Analysis Using Gene Expression Programming. In: 2nd International Conference on Soft Computing for Problem Solving (SocProS), DEC 28-30, 2012, JK Lakshmipat Univ, Jaipur, INDIA, pp. 1039-1045.Full text not available from this repository.
This paper discusses an approach for river mapping and flood evaluation to aid multi-temporal time series analysis of satellite images utilizing pixel spectral information for image classification and region-based segmentation to extract water covered region. Analysis of Moderate Resolution Imaging Spectroradiometer (MODIS) satellite images is applied in two stages: before flood and during flood. For these images the extraction of water region utilizes spectral information for image classification and spatial information for image segmentation. Multi-temporal MODIS images from ``normal'' (non-flood) and flood time-periods are processed in two steps. In the first step, image classifiers such as artificial neural networks and gene expression programming to separate the image pixels into water and non-water groups based on their spectral features. The classified image is then segmented using spatial features of the water pixels to remove the misclassified water region. From the results obtained, we evaluate the performance of the method and conclude that the use of image classification and region-based segmentation is an accurate and reliable for the extraction of water-covered region.
|Item Type:||Conference Proceedings|
|Additional Information:||Copy right for this article belongs to the SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY|
|Keywords:||MODIS satellite image; Gene expression programming; Artificial neural network|
|Department/Centre:||Division of Mechanical Sciences > Aerospace Engineering (Formerly, Aeronautical Engineering)|
|Date Deposited:||20 Aug 2014 11:01|
|Last Modified:||20 Aug 2014 11:01|
Actions (login required)