Approximative Bayes optimality linear discriminant analysis for Chinese handwriting character recognition

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Remote Sensing Image Scene Classification: Benchmark and State of the Art (2017, background): “It has shown great success for many scene classification methods [22, 23, 27, 44, 103, 116, 117].”
Object detection in VHR optical remote sensing images via learning rotation-invariant HOG feature (2016, background): “Among various features developed for visual object detection, the histogram of oriented gradients (HOG) feature [24] is maybe one of the most popular features that has been successfully applied to computer vision community [25].”
Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images (2016, background): “Since its introduction, it has shown great success in many object detection tasks [3], [4], [22], [33].”
Scene classification of high resolution remote sensing images using convolutional neural networks (2016, methodology): “In the future work, we will (1) test the method on more publicly available remote sensing image datasets; and (2) apply dimension reduction methods such as [25] to generate compact low-dimensional features in order to reduce computational complexity.”