Information Theoretic SAR Boundary Detection with User Interaction

Demirkesen, Can
Leloğlu, Uğur Murat
Detection of region boundaries is a very challenging task especially in the presence of noise or speckle as in synthetic aperture radar images. In this work, we propose a user interaction based boundary detection technique which makes use of B-splines and well-known powerful tools of information theory such as the Kullback-Leibler divergence (KLD) and Bhattacharyya distance. The proposed architecture consists of the following four main steps: (1) The user selects points inside and outside of a region. (2) Profiles that link these inside and outside points are extracted. (3) Boundary points that lie on the profile are located. (4) Finally, the B-splines that provide both elasticity and smoothness are used connect boundary points together to obtain an accurate estimate of the actual boundary. Existing work related to this approach are extended in several axes. First the use of multiple points both inside and outside of a region made possible to obtain a few times more boundary points. A tracking stage is proposed to put the boundary points in the right order and at the same time eliminate some of them that are erroneously detected as boundary points as well. Experiments were conducted using simulated and real SAR images.


Region Based Target Detection Approach for Synthetic Aperture Radar Images and Its Parallel Implementation
Nar, Fatih; Demirkesen, Can; Okman, O. Erman; ÇETİN, MÜJDAT (2012-04-26)
Automatic target detection (ATD) methods for synthetic aperture radar (SAR) imagery are sensitive to image resolution, target size, clutter complexity, and speckle noise level. However, a robust ATD method needs to be less sensitive to the above factors. In this study, a constant false alarm rate (CFAR) based method is proposed which can perform target detection independent of image resolution and target size even in heterogeneous background clutter. The proposed method is computationally efficient since cl...
Hyperspectral target detection - An experimental study
GUNYEL, BERTAN; Cinbiş, Ramazan Gökberk; Ture, Sedat; Gurbuz, Ali Cafer (2015-05-19)
In hyperspectral imaging, the measured spectra are affected by the materials and objects that reside within or in close vicinity of the pixel which is being imaged. The detection of a material or object of interest in an imaged region is a common problem in various application areas. In this work, an experimental study is performed for target detection in hyperspectral images, supported by a performance comparison.
Analysis of Airborne LiDAR Point Clouds With Spectral Graph Filtering
Bayram, Eda; Frossard, Pascal; Vural, Elif; Alatan, Abdullah Aydın (Institute of Electrical and Electronics Engineers (IEEE), 2018-08-01)
Separation of ground and nonground measurements is an essential task in the analysis of light detection and ranging (LiDAR) point clouds; however, it is challenge to implement a LiDAR filtering algorithm that integrates the mathematical definition of various landforms. In this letter, we propose a novel LiDAR filtering algorithm that adapts to the irregular structure and 3-D geometry of LiDAR point clouds. We exploit weighted graph representations to analyze the 3-D point cloud on its original domain. Then,...
Ship detection in synthetic aperture radar (SAR) images by deep learning
Ayhan, Oner; Sen, Nigar (2019-01-01)
In this paper, we propose a Convolutional Neural Network (CNN) based method to detect ships in Synthetic Aperture Radar (SAR) images. The architecture of proposed CNN has customized parts to detect small targets. In order to train, validate and test the CNN, TerraSAR-X Spot mode images are used. In the phase of data preparation, a GIS (Geographic Information System) specialist labels ships manually in all images. Later, image patches that contain ships are cropped and ground truths are also obtained from pr...
Algebraic spectral moments based moving clutter parameter estimation and clutter suppression
Oktar, Onur; Tanık, Yalçın; Department of Electrical and Electronics Engineering (2014)
In many modern radar systems, it is desired to detect the presence of targets in the interference which includes clutter and noise. Various signal processing techniques are proposed to effectively suppress the clutter and increase the signal to interference ratio. To achieve optimum suppression, radar system must know clutter characteristics and process the radar echoes based on these characteristics. For ground radars, the clutter environment characteristics are relatively stable and predictable. These cha...
Citation Formats
C. Demirkesen and U. M. Leloğlu, “Information Theoretic SAR Boundary Detection with User Interaction,” 2015, vol. 9643, p. 964319–1, Accessed: 00, 2021. [Online]. Available: