Simultaneous Visualization and Segmentation of Hyperspectral Data Using Fuzzy K Means Clustering.
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 6
Abstract
Hyperspectral imaging collects and processes information from across the electromagnetic spectrum. The goal of hyperspectral imaging is to obtain the spectrum for each pixel in the image of a scene, with the purpose of finding objects, identifying materials, or detecting processes. The existing approaches uses optimization-based method for simultaneous fusion and unsupervised segmentation of hyperspectral remote sensing images by exploiting redundancy in the data. Then the weights are optimized to improve those statistical characteristics. The optimal recovery of the weight matrix additionally provides useful information in segmenting the hyperspectral data set spatially. But it is not suitable for multi spectral data set. In the proposed system uses fuzzy k-means clustering for simultaneous visualization and segmentation of hyperspectral data.
Authors and Affiliations
Dr. T. Arumuga Maria Devi, M. Mathan Raja
Keywords
Related Articles
- EP ID EP22234
- DOI -
- Views 212
- Downloads 5
Inherent Selection Of Tuberculosis Using Graph Cut Segmentation
Tuberculosis (TB) is a major global health threat. An estimated one-third of the world’s population has been exposed to TB, and millions of new infections are occurring every year. Tuberculosis naturally affects the lun...
slugImplementation of a Breathwalk Aware System
Breathwalk is a science of combining specific patterns of footsteps synchronized with the breathing. Breathing and walking comprise two of the most important activities in our daily life. Bre...
Asymmetric Design for Viral Marketing in MSN
Within this paper, we address the issue of determining a small amount of people through whom the data could be diffused towards the network when possible, known to because the diffusion minimization problem. The emergin...
Autonomous Obstacle Detection and Tracking System
The most challenging domain in intelligent vehicle operation is collision avoidance. In case of extremities drivers show a great tendency to break vehicle than to steer although steering could be a better move. Automati...
Survey Paper- Distributed Duplication of Data and Reliability
Data deduplication is a method for removing multiple copies of same data, and has been widely used in cloud storage to reduce storage space and uploading speed. However, there is only one copy for each file stored in cl...