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Data Insights Artificial intelligence in defence: Satellite image smoothing

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However, not all innovations are equal and nor do they follow a constant upward trend. Instead, their evolution takes the form of an S-shaped curve that reflects their typical lifecycle from early emergence to accelerating adoption, before finally stabilizing and reaching maturity.

Identifying where a particular innovation is on this journey, especially those that are in the emerging and accelerating stages, is essential for understanding their current level of adoption and the likely future trajectory and impact they will have.

110 innovations will shape the aerospace and defense industry

According to GlobalData’s Technology Foresights, which plots the S-curve for the aerospace and defense industry using innovation intensity models built on over 260,000 patents, there are 110 innovation areas that will shape the future of the industry.

Within the emerging innovation stage, precision imaging drones, satellite image smoothing and AI in trajectory prediction are disruptive technologies that are in the early stages of application and should be tracked closely. Autonomous flight trajectory generation, autonomous mobile bots and aerial imaging are some of the accelerating innovation areas, where adoption has been steadily.

Innovation S-curve for artificial intelligence in the aerospace and defense industry

Satellite image smoothing is a key innovation area in artificial intelligence

Satellite image smoothing refers to the process of reducing the noise and enhancing the visual quality of satellite images. It involves various techniques and algorithms aimed at removing unwanted artifacts and imperfections from the images, resulting in a smoother and more visually appealing appearance.

GlobalData’s analysis also uncovers the companies at the forefront of each innovation area and assesses the potential reach and impact of their patenting activity across different applications and geographies. According to GlobalData, there are 435+ companies, spanning technology vendors, established aerospace and defense companies, and up-and-coming start-ups engaged in the development and application of satellite image smoothing.

Key players in satellite image smoothing – a disruptive innovation in the aerospace and defense industry

‘Application diversity’ measures the number of applications identified for each patent. It broadly splits companies into either ‘niche’ or ‘diversified’ innovators.  

‘Geographic reach’ refers to the number of countries each patent is registered in. It reflects the breadth of geographic application intended, ranging from ‘global’ to ‘local’. 

Patent volumes related to satellite image smoothing

Raytheon Technologies (RTX) is one of the leading patent filers in satellite image smoothing. The company, through its subsidiary Rosemount Aerospace, has filed patents related to cloud detection in aerial imagery.

The method helps find clouds in pictures taken from above, comparing a specific area in the picture to a similar area in another picture. It calculates the amount of shared information between these areas. If there is a lot of shared information, it means there might be a cloud in that area of the picture.

Some other significant patent filers in the satellite image smoothing space include Chinese Academy of Sciences, DJI Technology, and Baidu.

In terms of application diversity, RTX, Baidu, and X Development are some of the leading innovators. By means of geographic reach, some of the leading patent filers include Cognex, EagleView Technologies, and SoftBank Group.

To further understand the key themes and technologies disrupting the aerospace and defense industry, access GlobalData’s latest thematic research report on Artificial Intelligence (AI) in Defense.

GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.

GlobalData’s Patent Analytics tracks patent filings and grants from official offices around the world. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.