WiMi Hologram Cloud Inc (WIMI)

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WIMI Holography (NASDAQ: WIMI) launches high-resolution image automatic registration technology based on feature space objects.

Source
https://cj.sina.com.cn/articles/view/7651844612/1c815e20402001glao?from=finance

June 12, 2023

Automatic registration of high-resolution remote sensing images (HRRSIs) has been a challenging problem due to local deformations caused by different shooting angles and lighting conditions. In order to solve this problem, WIMI has proposed a new method based on feature space object (CSO) extraction and matching. First, the CSO and its localization points on the image are automatically extracted using the Mask R-CNN model. Then, each object and its nearest neighbors are encoded by an encoding method based on object category, relative distance and relative orientation. Next, a code matching algorithm is applied to search for the most similar object pairs. Finally, object pairs are filtered by position matching to construct the final control points for automatic image registration. Experimental results show that the proposed method outperforms traditional optimization methods based on local feature points in terms of registration success rate.

With the continuous development of remote sensing technology, the automatic registration of high-resolution remote sensing images (HRRSIs) has been a serious challenge. Different shooting angles and lighting conditions will cause local deformation of the image, which brings difficulties to data processing and analysis. It is reported that WIMI has launched a high-resolution image automatic registration technology based on feature space objects. Provide reliable information support in areas such as monitoring, urban planning, and agricultural management.

The core of this technological innovation is an automatic registration method based on feature-space objects (CSO). Traditional image registration methods usually rely on grayscale registration, transform domain registration or feature point-based registration, but these methods are very sensitive to grayscale, rotation and deformation, and are computationally intensive, making them unsuitable for automatic registration. WIMI holographic technology adopts a brand-new idea, and achieves more accurate registration results by using the Mask R-CNN model to automatically extract CSO and locate its position.

First, the image is scanned using the Mask R-CNN model, and the CSO and its positioning points on the image are automatically extracted. The accuracy and efficiency of this step is based on the accumulation of research and innovation in the field of computer vision by the WIMI Holographic team for many years. Subsequently, each extracted CSO and its nearest neighbors are encoded according to object category, relative distance and relative orientation. The encoded feature vectors provide the basis for subsequent matching.

In order to find the most similar object pair, WIMI Hologram adopts advanced code matching algorithm. The algorithm determines the degree of matching by calculating the similarity between encoded feature vectors. Object pairs with higher similarities are considered as candidates for registration. Further, the initial object pairs are filtered by position matching algorithm to exclude some false matches and obtain more reliable registration results. Through this step, WIMI holographic technology can accurately capture the spatial position relationship in the image, further improving the accuracy and robustness of registration.

According to the data, WIMI's high-resolution image automatic registration technology based on feature space objects has achieved remarkable results in experiments. By testing and comparing multiple data sets, the results show that this technique is significantly better than the traditional optimization method based on local feature points in terms of registration success rate. [color=green]This breakthrough achievement will enable the remote sensing industry to perform data processing and analysis more accurately and efficiently, providing a more reliable basis for decision-making.[/color]

In addition to remote sensing image processing, this technology also has a wide range of application prospects. In the field of urban planning, automatic registration technology based on characteristic spatial objects can help planners better understand urban changes and development trends, so as to formulate more scientific urban development strategies. In terms of environmental monitoring, this technology can provide accurate image registration results, help scientists monitor and evaluate environmental changes, and provide important data support for environmental protection and resource management. In addition, in areas such as agricultural management and disaster monitoring, this technology can also play an important role, providing accurate data analysis and decision support.

At present, WIMI holographic has introduced the high-resolution image automatic registration technology based on feature space objects to the market, and is exploring application scenarios with industry partners. By integrating this technology with existing remote sensing data processing platforms and software, users will be able to easily achieve high-precision image registration, thereby improving the accuracy and efficiency of data analysis. The introduction of high-resolution image automatic registration technology based on feature space objects marks another important breakthrough of WIMI in the field of image processing. The application of this technology will have a huge impact on the remote sensing industry. In the past, image registration required a lot of time and labor, and the results were not necessarily accurate. However, WIMI holographic technology will make the registration process more automated, efficient and accurate, greatly improving the processing efficiency and quality of remote sensing data.

It can be said that WIMI based on the high-resolution image automatic registration technology of feature space objects has solved the long-standing problems in the field of remote sensing image processing. The application of this technology will provide a more reliable and accurate data basis for scientific research and practice in related fields. In addition, WIMI also plans to carry out further research and development work with industry partners. They will work on further optimizing the efficiency and performance of the algorithm, expanding the scope of application of the technology, and developing more application solutions for different fields. This will provide users with more choices and meet the needs of different industries for image processing and data analysis. It provides strong support for accurate data analysis and intelligent decision-making. The successful application of this technology will bring huge economic and social benefits to environmental protection, urban planning, agricultural management and other fields.