Image representation is a crucial problem in image processing where there exist many low-level representations of image, i.e., SIFT, HOG and so on. But there is a missing link across low-level and high-level semantic representations. In fact, traditional machine learning approaches, e.g., non-negative matrix factorization, sparse representation and principle component analysis are employed to d...

Due to the differences between the visible and thermal infrared images, the combination of these two types of images leads to better understanding of  the characteristics of targets and the environment. Thermal infrared images are really in distinguishing targets from the background based on the radiation differences and  land surface temperature (LST) calculation. However, their spatial resolu...

Introduction: Understanding the representation components of the historical buildings in cyberspace and their impact on the mental image of the tourists is a significant fact in tourism recognition and management. A part of this subject is the impact of place representation on the destination image of the tourist. In this research, the destination is traditional accommodations that attract tour...

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Due to the differences between the visible and thermal infrared images, combination of these two types of images is essential for better understanding the characteristics of targets and the environment. Thermal infrared images have most importance to distinguish targets from the background based on the radiation differences, which work well in all-weather and day/night conditions also in land s...

The aim of this study was to explain the role of place representation in shaping the mental image of tourists from traditional residences. Representing the architecture of traditional residences in cyberspace as one of the most important sources of effective information in shaping the image of tourist destinations is of great importance. Today, traditional resorts as one of the most important t...