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Optimum Band selection For Target Detection In Hyperspectral Imagery based on Binary PSO
Shahram Sharifi hashjin Eng, Ali Darvishi boloorani Dr , Safa Khazai Dr, Ata Abdollahi kakroodi Dr
Abstract:   (45 Views)
High spectral resolution of hyperspectral images in form of very narrow and constant within visible and infrared spectral ranges has brought the technology of remote hyperspectral measurement into spotlight in order to detect objects as well as earthly phenomena. In this field, most methods have been presented with the purpose of improving the accuracy of image classification and there have been scarce researches on target detection. A chief reason behind this is the shortage or absence of training samples of the desired target in background images. In order to solve this problem, a method is introduced in which for sub-pixel target detection through several simulated training samples, created by means of target spectrum implantation in the image. Once simulated targets are created, optimal bands are selected via Particle Swarm Optimization(PSO) Algorithm. In the final stage Local Adaptive Coherence Estimator(ACE) algorithm is conducted based on the use of selected bands on the main image. The output of this stage will be target detection map that by applying a threshold in a detection map can determine whether the pixels are target or not. In order to evaluate and study the ability of the introduced algorithm, Target Detection Blind Test(TDBT) datasets have been used. False alarm rate was used as touchstone to evaluate the results between the outputs of different methods. Compared to some PSO-based algorithms such as maximum-submaximum-ratio (MSR) and correlation coefficient(CC), an evolutionary method such as genetic algorithm(GA), and the use of full band, the proposed method was able to improve the results by 46% in all cases where it was possible to decrease false alarm for the searched target.
 
Keywords: Target detection, particle swarm optimization (PSO), band selection, hyperspectral images.
     
Type of Study: Research | Subject: Photo&RS
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نشریه علمی پژوهشی علوم و فنون نقشه برداری Journal of Geomatics Science and Technology