Speckle reduction and linear feature extraction from microwave images using Beamlet Transform
- Resource Type
- Conference
- Authors
- Ramachandran, V; Vani, K; Santosh, R
- Source
- 2014 International Conference on Science Engineering and Management Research (ICSEMR) Science Engineering and Management Research (ICSEMR), 2014 International Conference on. :1-4 Nov, 2014
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
General Topics for Engineers
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Feature extraction
Image edge detection
Transforms
Noise
Microwave filters
Speckle
Microwave imaging
synthetic aperture radar (SAR)
Beamlet Transform
linear feature extraction
- Language
Extracting Linear Features from Microwave Images (SAR) using Beamlet Transform is proposed in this paper. Microwave images are independent of climate. In certain durations these images are affected by noise (Speckle). So Speckle is removed in this work by using Soft threshold technique. For extracting the linear Features, Beamlet Transform based algorithm was applied. This algorithm recursively partitions the image into sub-squares to build a beamlet dictionary to perform the transform followed by discontinuities are linked to extract the linear features. Finally, Experimental results are shows the feature extraction from microwave images using Beamlet Transform to increase the correctness and quality of satellite Mapping.