A Novel Coastline Detection Algorithm Based on Modified Iterative Selection Method

Misjudgment often occurred in low contrast remote sensing images, because most widely used image segmentation algorithms often have a larger threshold. To overcome this problem, a novel coastline detection algorithm is proposed. A restriction function is involved into conventional iterative selection process. According to langrage multiplier, a modified iterative selection model is formulated. This modified method utilizes the gradient of images to obtain an optimal threshold. A region grouping rule is proposed to distinguish land and sea. Experimental results show superior performance of proposed method in terms of accuracy. As an application, our method has been applied to extract the coastline of the remote sensing image with promising results.

[1]  D. Fang,et al.  Study on the elimination of surface wave by metal fences , 2000, Proceedings. Asia-Pacific Conference on Environmental Electromagnetics. CEEM'2000 (IEEE Cat. No.00EX402).

[2]  Hong Sun,et al.  Coastline Detection in Synthetic Aperture Radar (SAR) Images by Integrating Watershed Transformation and Controllable Gradient Vector Flow (GVF) Snake Model , 2012, IEEE Journal of Oceanic Engineering.

[3]  Stanley R. Rotman,et al.  Comments on Picture thresholding using an iterative selection method , 1990, IEEE Trans. Syst. Man Cybern..

[4]  T. W. Ridler,et al.  Picture thresholding using an iterative selection method. , 1978 .

[5]  Margarida Silveira,et al.  Separation Between Water and Land in SAR Images Using Region-Based Level Sets , 2009, IEEE Geoscience and Remote Sensing Letters.

[6]  K. G. Kara,et al.  TOWARDS AUTOMATIC DETECTION OF COASTLINES FROM SATELITE IMAGERY , 2002 .

[7]  Andrew K. C. Wong,et al.  A new method for gray-level picture thresholding using the entropy of the histogram , 1985, Comput. Vis. Graph. Image Process..

[8]  N. Otsu.  A threshold selection method from gray level histograms , 1979 .

[9]  H. Liu,et al.  Automated extraction of coastline from satellite imagery by integrating Canny edge detection and locally adaptive thresholding methods , 2004 .

[10]  Ozy Sjahputera,et al.  Clustering of Detected Changes in High-Resolution Satellite Imagery Using a Stabilized Competitive Agglomeration Algorithm , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[11]  Weihai Li,et al.  A sea-land segmentation scheme based on statistical model of sea , 2011, 2011 4th International Congress on Image and Signal Processing.

[12]  Andreas Niedermeier,et al.  Detection of coastlines in SAR images using wavelet methods , 2000, IEEE Trans. Geosci. Remote. Sens..

[13]  Konstantinos Karantzalos,et al.  Towards automatic detection of coastlines from satellite imagery , 2002, 2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628).

[14]  Xiaofeng Li,et al.  Coastline Extraction Using Dual-Polarimetric COSMO-SkyMed PingPong Mode SAR Data , 2014, IEEE Geoscience and Remote Sensing Letters.

[15]  Muhammad Hasan Ali Baig,et al.  Automated detection of coastline using Landsat TM based on water index and edge detection methods , 2012, 2012 Second International Workshop on Earth Observation and Remote Sensing Applications.