WaveCluster for Remote Sensing Image Retrieval

Journal Title: International Journal on Computer Science and Engineering - Year 2011, Vol 3, Issue 2

Abstract

Wave Cluster is a grid based clustering approach. Many researchers have applied wave cluster technique for segmenting images. Wave cluster uses wave transformation for clustering the data item. Normally it uses Haar, Daubechies and Cohen Daubechies Feauveau or Reverse Bi-orthogonal wavelets. Symlet, Biorthogonal and Meyer wavelet families have been used in this paper to compare its clustering capacity and then results of this are used to retrieve the remote sensing image. The results are promising suggesting that Cohen Daubechies or Reverse Biorthogonal gives best result as compared to other four wavelet families.

Authors and Affiliations

Priti Maheshwary , Namita Srivastava

Keywords

Related Articles

Security For Wireless Sensor Network

Wireless sensor network is highly vulnerable to attacks because it consists of various resourceconstrained devices with their low battery power, less memory, and associated low energy. Sensor nodes communicate among them...

A Novel Method for Brain MRI Super-resolution by Wavelet-based POCS and Adaptive Edge Zoom

This paper aims to make the super-resolution of a high-resolution image from a sequence of low-resolution frames containing non-stationary objects. The challenges of making super-resolution image, like unavoidable smooth...

NODE ADDRESSING SCHEMES FOR SCALABLE ROUTING IN HIERARCHICAL WSN

Wireless Sensor Network has a capacity of communication computation with node in a network. The sensor performs many significant tasks in a selective area. In this paper proposing the new idea to improve issues on node a...

Canonical Correlated Kernel PCA Method for Face Recognition

Practical face recognition systems are sometimes confronted with low-resolution face images. To address this problem, a super-resolution method that uses nonlinear mappings to infer coherent features that favor higher re...

Discovering suffixes: A Case Study for Marathi Language

Suffix stripping is a pre-processing step required in a number of natural language processing applications. Stemmer is a tool used to perform this step. This paper presents and evaluates a rule-based and an unsupervised...

Download PDF file
  • EP ID EP113568
  • DOI -
  • Views 101
  • Downloads 0

How To Cite

Priti Maheshwary, Namita Srivastava (2011). WaveCluster for Remote Sensing Image Retrieval. International Journal on Computer Science and Engineering, 3(2), 976-979. https://europub.co.uk/articles/-A-113568