Integrated visual vocabulary in latent Dirichlet allocation–based scene classification for IKONOS image

By R. Kusumaningrum, Hong Wei, Ruli Manurung, A. Murni. 2014

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AID: A Benchmark Data Set for Performance Evaluation of Aerial Scene Classification (2016, methodology): “[21] used CIELab color moments [79], GLCM [80], and edge orientation histogram [21] to extract spectral, texture, and structure information, respectively, in the LDA model.”
A Comparative Study of Sampling Analysis in the Scene Classification of Optical High-Spatial Resolution Remote Sensing Imagery (2015, methodology): “Although the methods of scene classification involve many different methodologies, such as the bag-of-visual-words (BoVW) models [1,4,9], the topic models [3,8] and unsupervised feature learning-based methods [10,13,14], it is clear that one can summarize these”