We are exposed to numerous photos and videos every day. Thanks to technological advancements, we can easily access high-resolution images and videos even on our small smartphones, making making
 low-resolution images less desirable to view. 
 
 Consequently, many people are in need of high-resolution images to accurately verify information and gain a more detailed understanding. Nonetheless, the use of high-resolution images comes
 with a significant expense, leading to an increase in demand for sites or programs that can enhance the resolution of low-resolution images.


 

<blockquote class="__se__custom__vertical-blockquote">
 Did you know that you can enhance the resolution of satellite images as well?
</blockquote>

 

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 <img src="https://ep-insight.s3.ap-northeast-2.amazonaws.com/public/sr-image-enhancement/en-Paris-Satellite-image.png" alt="" data-rotate="" data-proportion="true" data-rotatex="" data-rotatey=""
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This situation is not an exception for many artificial satellites observing the Earth from at least 400 km away. To observe objects on Earth, high-resolution is required, but obtaining
 high-resolution satellite images requires a significant amount of money. 
 
 To address this issue, Nara Space has developed super-resolution technology (SR) to obtain high-quality and high-resolution images from low-resolution satellite images.


 

<blockquote class="__se__custom__normal-blockquote">
 Super-resolution technology
</blockquote>

 

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The super-resolution technology developed by Nara Space has various advantages. Using deep learning algorithms, it can quickly obtain high-resolution images while preserving the
 detailed features and structure of satellite images, and can be applied to various resolutions of satellite images, making it possible to apply to terrains with different features such as urban and
 mountainous areas.

 

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Additionally, super-resolution technology not only provides high-quality and high-resolution images from low-resolution satellite images but also enhances the performance of object
 detection. This is achieved by generating high-resolution representations of blurry or low-resolution areas in the original image.

 

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 <img src="https://ep-insight.s3.ap-northeast-2.amazonaws.com/public/sr-image-enhancement/en-Rotterdam-Ship-detection-SR-Before-After.png" alt="" data-rotate="" data-proportion="true"
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Using satellite images with high resolution allows for precise object detection and identification, enabling accurate and effective measures to be taken in various fields such as natural disaster
 prediction and response, traffic flow improvement, environmental monitoring, military information gathering and response, and more.

 

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 data-rotatex="" data-rotatey="" data-align="center" data-size="," data-percentage="auto,auto" data-file-name="en-Rotterdam-Ship-detection-SR-Before-After2.png" data-file-size="0" data-origin=","
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Therefore, by applying Nara Space&apos;s super-resolution technology, which has various advantages such as improving resolution, reducing processing time, and enabling object
 detection
 and identification, to satellite images, we can focus on research and development related to satellites and develop more effective measures in various fields such as natural disaster prediction and
 response, traffic flow improvement, environmental monitoring, and military information collection and response. Furthermore, we can expect that such advancements will greatly contribute to improving
 quality of life and sustainable development of the Earth.
 
 Discover the "super-resolution technology" that can be utilized in various fields at NARA SPACE!

Image Enhancement Through Deep Learning-Based Super-Resolution Technology

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