Розглянуто проблеми цифрового аерознімання, шляхи підвищення якості виконання знімальних робіт. Розроблено нові способи знімання, які дають змогу за використання субпіксельної технології отримувати знімки вищого просторового розрізнення. Проаналізовано існуючі методи підвищення просторового розрізнення космознімків і аерокосмічних знімальних систем. Виділено найперспективніші методи застосування цифрового аерокосмічного знімання для розв’язання геологічних завдань.
Рассмотрены проблемы цифровой аэросъемки, пути повышения качества выполнения съемочных работ. Разработаны новые способы съемки, которые позволяют за счет использования субпиксельной технологии получать снимки более высокого пространственного разрешения. Приведен анализ существующих методов повышения пространственного разрешения космоснимков и аэрокосмических съемочных систем. Выделены наиболее перспективные методы применения цифровой аэрокосмической съемки для решения геологических задач.
Purpose. One of the main unsolved problems in the use of aerospace images is the problem of developing new, more effective methods and software tools for automated interpretation of these data. With the modern processing of space images, there can be often a problem of interpreting small objects in the desired territory or increasing the accuracy of research. However, not all images have a good spatial resolution or are difficult to access. This problem can be solved by methods for improving the spatial resolution of space images by using subpixel technology. The purpose of the article is to develop and analyze the existing methods to increase the spatial resolution of space imagesand to select the most appropriate and accurate ones for modern research.
Design/methodology/approach. The general methodology for increasing spatial resolution based on subpixel recording provides for a sequential transition from pixel grids of low-resolution input images to a subpixel grid of an enhanced spatial resolution created on their basis. Thus, within the same general field of view, n images are formed, geometrically offset relative to each other by 1 / n pixel fraction.
Findings. The above examples of solving the problem of increasing the resolution of aerospace images shows the reality and effectiveness of using sub-pixel technology. Among the proposed methods, we should emphasize allocated pan- sharpening in the ENVI software package and the method of geometric comparison. They have fewer flaws compared to the rest. In addition, the subpixel recording method deserves special attention. Besides, in the analyzed methods, there is a description of increasing the spatial resolution for aerial photography.
Practical value/implications. It should be noted that in solving problems of large-scale mapping, digital cameras used today for aerial photography are inferior to photographic resolution, but they have many advantages, such as the possibility of automating the photogrammetric process, reducing its laboriousness, etc. In addition, increasing the resolution of space images after their processing with the software can help in solving modern problems in geology that need remote sensing. The work carried out makes it possible to apply the findings of the study to practical activities of geological enterprises and companies engaged in remote sensing research, to reduce the cost of obtaining quality information, and to effectively support decision-making in the management and monitoring processes.