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MLA

Yin, Shoulin, and Lin Teng. "Review for Region Localization in Large-Scale Optical Remote Sensing Images." IJISTA vol.1, no.1 2022: pp.1-12. http://doi.org/10.4018/IJISTA.306654

APA

Yin, S. & Teng, L. (2022). Review for Region Localization in Large-Scale Optical Remote Sensing Images. International Journal of Imaging and Sensing Technologies and Applications (IJISTA), 1(1), 1-12. http://doi.org/10.4018/IJISTA.306654

Chicago

Yin, Shoulin, and Lin Teng. "Review for Region Localization in Large-Scale Optical Remote Sensing Images," International Journal of Imaging and Sensing Technologies and Applications (IJISTA) 1, no.1: 1-12. http://doi.org/10.4018/IJISTA.306654

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Review for Region Localization in Large-Scale Optical Remote Sensing Images

International Journal of Imaging and Sensing Technologies and Applications (IJISTA)

In recent years, with the rapid development of computer technology, artificial intelligence and thinking science research, imaging and sensor processing technologies are developing to a higher and deeper level. Computer equipment performance and image processing ability have been significantly improved. In the current network society, when people use diversified means of communication, they are more inclined to use intuitive images to express their behaviors. Image and sensor processing technology has gradually been closely related to people's production and life, and has become an important part of the progress and development of human society. The International Journal of Imaging and Sensing Technologies and Applications (IJISTA) creates and fosters a forum where research in the theory and practice of Imaging and Sensing is advanced. IJISTA publishes high quality papers dealing with a wide range of issues, ranging from technical, legal, regulatory, organizational, managerial, cultural, ethical and human aspects of Imaging and Sensing, through a balanced mix of theoretical and empirical research articles, case studies, book reviews, tutorials, and editorials. IJISTA encourages submission of manuscripts that present research frameworks, methods, methodologies, theory development and validation, case studies, simulation results and analysis, technological architectures, infrastructure issues in design, and implementation and maintenance of Imaging and Sensing initiatives.
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