SAR Image Target Detection Method Based on Binary Cutting and Convolutional Neural Network
WANG Pan
HU Baojie
JI Xiang
Abstract：In this paper,based on the public SAR image data set,target detection is divided into two stages,which are target location and classification recognition according to the target features.Binarization segmentation method is used for target location,and a classification system is constructed based on convolutional neural network to realize target recognition.In response to the prob-lem of limited sample size in the dataset,various methods are adopted for dataset expansion.Relevant experiments prove that the comprehensive target detection performance is good,which provides a feasible method for SAR image target detection.
Keywords：SAR imagesbinarization segmentationconvolutional neural networktarget detection
Publication Date：2024-12-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 50-54 )