Web-based synthetic-aperture radar data management system and land cover classification

• Dalwon Jang,
• Jaewon Lee,
• Jong-Seol Lee,

Vol. 17, No. 7, July 31, 2023
10.3837/tiis.2023.07.007, Download Paper (Free):

• Synthetic aperture radar (SAR) image
• Land cover classification
• Machine Learning
• Convolutional Neural Network
• Remote sensing

Abstract

With the advance of radar technologies, the availability of synthetic aperture radar (SAR) images increases. To improve application of SAR images, a management system for SAR images is proposed in this paper. The system provides trainable land cover classification module and display of SAR images on the map. Users of the system can create their own classifier with their data, and obtain the classified results of newly captured SAR images by applying the classifier to the images. The classifier is based on convolutional neural network structure. Since there are differences among SAR images depending on capturing method and devices, a fixed classifier cannot cover all types of SAR land cover classification problems. Thus, it is adopted to create each user’s classifier. In our experiments, it is shown that the module works well with two different SAR datasets. With this system, SAR data and land cover classification results are managed and easily displayed.

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