… Twenty-seven research papers dealing with smoke classification using images are selected
for the present review. Early methods have used classical IP algorithms such as local binary …

… In order to tackle this problem, we propose to classify the building into multiple 3-D … [20]
proposed an indoor/outdoor detection to determine the first-floor pressure as the virtual …

… [51] proposed a block-based MEF method for static scenes. In this … classified in different
ways. According to the number of input images, MEF can be divided into the fusion of two images …

… In our model, we first employ a dense block-based auto-encoder to extract representative …
, most suitable sensor selection, and indoor/outdoor classification, respectively. Extensive real-…

… However, this indoor/outdoor classification based on the K-Rician factor and C/N0 values …
and block-based), and the article did not mention the accuracy of the context classification, but …

… to reveal the authenticity of images. Over the past two decades, several methods have been
introduced to reveal splicing forgeries and they broadly classified into three groups. In the …

… For the classification of vegetation and houses, the RGB orthomosaic was subjected to … it
can perform postprocessing on the image, such as supervised classification with the maximum …

… It offers a multi-dimensional taxonomy to classify the most pertinent researches according
to different perspectives and tries to unify the categorization of PRId methods and fill the gap …

… as we did for the indoor/outdoor scenes. In its present format using histogram classification,
its … Grana, “Optimized block-based algorithms to label connected components on gpus,” IEEE …

… level map by 𝑙1 norm and block-based average operator, which generates the best stitching
results among all three strategies. Quantitative evaluation is illustrated in Fig. 9 (b). All five …