A Comparative Study of Bag-of-Words and Bag-of-Topics Models of EO Image Patches

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Remote Sensing Image Scene Classification: Benchmark and State of the Art (2017, methodology): “addition, a number of improved feature encoding/pooling methods have also been proposed in the past few years, such as Fisher vector coding [10, 14, 84, 86], spatial pyramid matching (SPM) [124], and probabilistic topic model (PTM) [11, 40, 42, 43, 92, 123], etc.”
Semantic Annotation of High-Resolution Satellite Images via Weakly Supervised Learning (2016, background): “lations can result in the discovery of object parts (so-called topics) in images [31], by following this line, various probabilistic topic models, such as probabilistic latent semantic analysis [34],”
Hyperspectral Image Classification—Traditional to Deep Models: A Survey for Future Prospects (2021, methodology): “Spatial Pyramid Matching (SPM) [97], and Probabilistic Topic Model (PTM) [93], [98]–[100].”
Land Use Classification in Remote Sensing Images by Convolutional Neural Networks (2015, background): “The Synthetic Aperture Radar, therefore, is certainly a ﬁeld of great interest for future research, drawing already the attention of several research groups [58], [59].”