Ship Detection in High-Resolution Optical Imagery Based on Anomaly Detector and Local Shape Feature

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PatternNet: A Benchmark Dataset for Performance Evaluation of Remote Sensing Image Retrieval (2017, methodology): “For object detection in remote sensing images, several extensions of HOG have been developed in order to improve detection performance [64– 67].”
Object Detection in 20 Years: A Survey (2019, methodology): “In candidate extraction stage, some frequently used methods include gray value filtering based methods [383, 384], visual saliencybased methods [385–388], wavelet transform based methods [389], anomaly detection based methods [390], etc.”
Ship Rotated Bounding Box Space for Ship Extraction From High-Resolution Optical Satellite Images With Complex Backgrounds (2016, methodology): “The first group is based on pixelwise (or pixelbased regions) labeling [2]–[5].”
A High Resolution Optical Satellite Image Dataset for Ship Recognition and Some New Baselines (2017, methodology): “(Shi et al., 2014; Qi et al., 2015) designed some new improved handcrafted features based on HOG (Dalal and Triggs, 2005) feature.”