• D.Nagamani
• V.Shireesha

The paper presents a new methodology of edge detection for Synthetic Aperture Radar (SAR) images. This justifies the importance of edge enhancement before to edge detection as the data is highly heterogeneous in nature. The research work is based on the implementation of edge enhancement algorithm for SAR images which is implemented with Daubechies wavelet transform. This method signifies the motive to reduce the speckle noise from the SAR images to get smooth edges. The coastline of SAR images is extracted later using region based active contour method for edge detection. This paper introduces local binary fitting energy at level set function; this proposed method is able to detect accurate recovery of desired object boundary. The performance is analyzed by applying it on different radar images.

Daubechies Wavelet Transform, Region based Active Contour, Synthetic Aperture Radar, Edge detection

"Edge Enhancement and Edge Detection for SAR Images using Daubechies Wavelet Transform and Region based Active Contour", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.215-220, July-2018, Available :http://www.jetir.org/papers/JETIR1807037.pdf

"Edge Enhancement and Edge Detection for SAR Images using Daubechies Wavelet Transform and Region based Active Contour", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp215-220, July-2018, Available at : http://www.jetir.org/papers/JETIR1807037.pdf