Shen, H., Li, X., Cheng, Q., Zeng, C., Yang, G., Li, H., & Zhang, L. (2015). Missing Information Reconstruction of Remote Sensing Data: A Technical Review. IEEE Geoscience and Remote Sensing Magazine, 3(3), 61–85. https://doi.org/10.1109/MGRS.2015.2441912 Son, H., Kim, S., Yeon, H., Kim, Y., Jang, Y., & Kim, S. E. (2021). Visual Analysis of Spatiotemporal Data Predictions with Deep Learning Models. Applied Sciences 2021, Vol. 11, 11(13). https://doi.org/10.3390/app11135853 Windrim, L., Melkumyan, A., Murphy, R. J., Chlingaryan, A., & Leung, R. (2023). Unsupervised ore/waste classification on open-cut mine faces using close-range hyperspectral data. Geoscience Frontiers, 14(4), 101562. https://doi.org/10.1016/j.gsf.2023.101562 Xu, S., Ma, J., Liang, R., Zhang, C., Li, B., Saydam, S., & Canbulat, I. (2023). Intelligent recognition of drill cores and automatic RQD analytics based on deep learning. Acta Geotechnica 2023 18:11, 18(11), 6027–6050. https://doi.org/10.1007/s11440-023-02011-2 Zhang, L. (2016). Determination and applications of rock quality designation (RQD). Journal of Rock Mechanics and Geotechnical Engineering, 8(3), 389–397. https://doi.org/10.1016/j.jrmge.2015.11.008 Zhang, S., Yang, Y., Sun, F., & Fang, B. (2023). Application of Image Sensing System in Mineral/Rock Identification: Sensing Mode and Information Process. Advanced Intelligent Systems, 5(11), 2300206. https://doi.org/10.1002/aisy.202300206 Zhong, Y., & Zhang, L. (2012). An adaptive artificial immune network for supervised classification of multi-/hyperspectral remote sensing imagery. IEEE Transactions on Geoscience and Remote Sensing, 50(3), 894–909. https://doi.org/10.1109/TGRS.2011.2162589 APPENDIX 5.1 UX/UI design 5.1.2 User Authentication and Information Protection In this application, a user authentication function has been implemented in order to ensure data security and personal information protection. Upon entering their email address, the user is prompted to supply an authentication code, which is subsequently sent to their pre-authenticated email address. This process enables them to access the application. This authentication feature is pivotal in ensuring that the shooting data, training data, and discrimination models assigned to each user are managed individually, thereby limiting access to data from disparate sites. This design is a significant factor in preventing data leakage and ensuring user privacy. Furthermore, the administrator of the organization utilizing this application is capable of meticulously configuring the operating privileges for each individual user within the application itself. The subsequent Figure 5 illustrates the interface through which the administrator can modify the user's operating privileges. The administrator's authority encompasses the execution of all operations, including the uploading of training images, the generation of discrimination models, and the application of judgments to unknown images. Conversely, child users are granted specific authorizations, such as the ability to create training images. This privilege management system has been developed to minimize the risk of accidental deletion or overwriting of the discrimination model, thereby increasing the safety of important data.
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