# Research on Two-Dimensional Digital Map Modeling Method Based on UAV Aerial Images
## 5 Conclusions  
This paper presents a method for creating digital maps from urban building sequence images captured by unmanned aerial vehicles (UAVs), which can be used for emergency rescue, accident handling, and other issues. During the image processing, the following problems were addressed and certain achievements were made:  
1. In the domain of image feature extraction, the C-SURF algorithm is proposed, which demonstrates a more comprehensive feature detection capability compared to the SIFT and SURF algorithms. When detecting features in the same image, the number of detected feature points using the C-SURF algorithm exceeds that of the SIFT algorithm by nearly 40% and that of the SURF algorithm by nearly 48%. This advancement mitigates the issue of certain elements within the image being undetectable as feature points and increases the number of correctly matched point pairs within the same image, thereby enhancing the effectiveness of feature registration;
2. To address the issue of defects in stitched images caused by the presence of moving objects in the analyzed scene, a novel image stitching method based on the novel energy function is proposed. This method not only prevents the occurrence of uneven exposure when stitching two or more images but also significantly improves the issues of color discrepancies and ghosting artifacts that arise after image fusion. The average signal-to-noise ratio (SNR) of the stitched images increased from the original 12.6617 dB to 36.1661 dB, indicating a marked improvement in image quality.  
Furthermore, during the research process of obtaining panoramic images and target extraction, there remain many areas for in-depth study. For instance, optimization of drone aerial image processing techniques under varying lighting conditions and different terrain complexities could be considered. The maps generated in this study do not take geographic coordinate information into account; thus, adding latitude, longitude, and altitude to the current maps to achieve more precise mapping is one of the directions for future research. Additionally, exploring the integration of the generated maps with GIS environments presents another potential avenue for development.  
H.W.: Conceptualization, methodology, software, data curation, writing--original draft. K.Z.: Conceptualization, writing--review and editing, Supervision. D.G.: validation, writing--review and editing. X.X.: Validation, writing--review and editing. Y.W.: Validation, writing--review and editing. All authors have read and agreed to the published version of the manuscript.  
This research was funded by STUDY ON SAFETY PRODUCTION MANAGEMENT SYSTEM OF CHN ENERGY, grant number GJNY-23-1.  
Not applicable.  
The original contributions presented in the study are included in the article; further inquiries can be directed to the corresponding author.  
Author [PERSON] was employed by the company CHN ENERGY. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.