Development of An Automated Satellite Image Collection and Processing System for Image Utilization
Song, S.H. (a), Jeong, Y.J. (a), Kim, S.W. (a), Jeong, S.W. (a), Kim, T.J. (b*)

a) 3D Labs Co., Ltd
b) Department of Geoinformatic Engineering, Inha University
*tezid[at]inha.ac.kr

Abstract

As the value and demand for satellite imagery continue to grow, non-traditional and non-expert users, such as local government officials and practitioners of existing industry, are being more interested in utilizing satellite images. However, recent interviews with them revealed several improvements were required for wider utilization They felt that the utilization of satellite images required professional knowledge on remote sensing and image processing and that the search and collection of images over their region of interest (ROI) was very professional and difficult tasks.
We consider the automation of image collection is a key component for mitigating these difficulties and for enabling rapid and user-friendly analysis. For these reasons, we have developed a system that handles the entire workflow from image collection to processing of various imagery captured by satellites. In this paper, we describe the features developed for the automated collection of satellite imagery. The automated collection process allows users to define search criteria such as an ROI area, date, image type, and cloud coverage. Then, it provides a list of matching satellite images. Users can review metadata and spatial coverage for each image and select the desired data. The data selected, which may take several hours, are downloaded automatically. After the completion of the download, the data are saved to a database and inputted to flow-up processing steps. We implemented the automated image collection for satellite images provided by pre-defined API (Application Programming Interface) protocols, such as Landsat and Sentinel images, or by official Web pages, such as CAS500-1 images. This functionality is expected to support a wide range of applications, including time-series analysis, AI-based object detection, and change monitoring, and to contribute to the establishment of a reliable and efficient image processing framework.

Keywords: Satellite Image, Automated Collection, Image Utilization

Topic: Topic C: Emerging Technologies in Remote Sensing