• Proceedings of the KSRS Conference
• /
• 2004.10a
• /
• pp.220-223
• /
• 2004

Automatic image registration is an essential element of remote sensing because remote sensing system generates enormous amount of data, which are multiple observations of the same features at different times and by different sensor. The general process of automatic image registration includes three steps: 1) The extraction of features to be used in the matching process, 2) the feature matching strategy and accurate matching process, 3) the resampling of the data based on the correspondence computed from matched feature. For step 2) and 3), we have developed an algorithms for automated registration of satellite images with RANSAC(Random Sample Consensus) in success. However, for step 1), There still remains human operation to generate GCP Chips, which is time consuming, laborious and expensive process. The main idea of this research is that we are able to automatically generate GCP chips with comer detection algorithms without GPS survey and human interventions if we have systematic corrected satellite image within adaptable positional accuracy. In this research, we use SUSAN(Smallest Univalue Segment Assimilating Nucleus) algorithm in order to detect the comer. SUSAN algorithm is known as the best robust algorithms for comer detection in the field of compute vision. However, there are so many comers in high-resolution images so that we need to reduce the comer points from SUSAN algorithms to overcome redundancy. In experiment, we automatically generate GCP chips from IKONOS images with geo level using SUSAN algorithms. Then we extract reference coordinate from IKONOS images and DEM data and filter the comer points using texture analysis. At last, we apply automatically collected GCP chips by proposed method and the GCP by operator to in-house automatic precision correction algorithms. The compared result will be presented to show the GCP quality.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.22 no.4
• /
• pp.86-101
• /
• 2019

Remote sensing technology has been continuously developed both quantitatively and qualitatively, including platform development, exploration area, and exploration functions. Recently, the use cases and related researches in the agricultural field are increasing. Also, since it is possible to detect and quantify the condition of cropland and establish management plans and policy support for cropland and agricultural environment, it is being studied in various fields such as crop growth abnormality determination and crop estimation based on time series information. The purpose of this study was to analyze the vegetation index for agricultural land reclamation area using a UAV equipped with a multi-spectral sensor. In addition, field surveys were conducted to evaluate the accuracy of vegetation indices calculated from multispectral image data obtained using UAV. The most appropriate vegetation index was derived by evaluating the correlation between vegetation index calculated by field survey and vegetation index calculated from UAV multispectral image, and was used to analyze vegetation index of the entire area.

• Journal of the Korea Society of Computer and Information
• /
• v.24 no.12
• /
• pp.183-189
• /
• 2019

After the fourth industrial revolution, a business that utilizes Artificial Intelligence (AI) is expanding centered around IT industries and it is expected that the quality of AI services will improve. This study aims to examine changes in marketing through the advance and development of AI and to establish and apply marketing strategies to respond to future market changes. Based on existing data, the development of AI technology was examined and looked into changes in marketing and counter strategies through cases overseas and South Korea. Artificial Intelligence technology has a close impact on our lives, changing our lives, and thus changing consumer patterns, perceptions, and consumer culture. In the future, innovative changes in AI technologies will require government policies, the vision of the corporation, and it is necessary to establish longer-term success strategies. Collaboration between companies and industries is also important.

• Journal of Institute of Control, Robotics and Systems
• /
• v.8 no.1
• /
• pp.21-27
• /
• 2002

Inspection and shape measurement of three-dimensional objects are widely needed in industries for quality monitoring and control. A number of visual or optical technologies have been successfully applied to measure three-dimensional surfaces. However, those conventional visual or optical methods have inherent shortcomings such as occlusion and variant surface reflection. X-ray vision system can be a good solution to these conventional problems, since we can extract the volume information including both the surface geometry and the inner structure of any objects. In the x-ray system, the surface condition of an object, whether it is lambertian or specular, does not affect the inherent characteristics of its x-ray images. In this paper, we propose a three-dimensional x-ray imaging method to reconstruct a three dimensional structure of an object out of two dimensional x-ray image sets. To achieve this by the proposed method, two or more x-ray images projected from different views are needed. Once these images are acquired, the simultaneous algebraic reconstruction technique(SART) is usually utilized. Since the existing SART algorithms have several shortcomings such as low performance in convergence and different convergence within the reconstruction volume of interest, an advanced SART algorithm named as USART(uniform SART) is proposed to avoid such shortcomings and improve the reconstruction performance. Because, each voxel within the volume is equally weighted to update instantaneous value of its internal density, it can achieve uniform convergence property of the reconstructed volume. The algorithm is simulated on various shapes of objects such as a pyramid, a hemisphere and a BGA model. Based on simulation results the performance of the proposed method is compared with that of the conventional SART method.

• Journal of Science and Technology Studies
• /
• v.12 no.2
• /
• pp.81-116
• /
• 2012

Transition toward sustainablity being in progress in a variety of areas including climate, energy, household, transportation. This study analyzed system transition and backcasting of its management with case of sustainable transportation, foods, household system transition in the Netherlands. Backcasting has become a popular approach for sustainability taking a more reflexive perspective and looking back to the participatory experiments. In the Netherlands, participatory backcasting utilized as s innovative approach for long-term strategy for sustainability, based on stakeholder involvement, construction of normative sustainable futures, stakeholder leaning. In this study, we can be understood that transition management requires the participation and contribution of business, government, research and the public & public interest groups and backcating is tool leading to a sustainable future vision, stakeholder involvement. To create a new path toward sustainablity, it requires integrated consideration of related policy perspectives and participatory backcasting aiming at system innovations for influencing transitions.

• Journal of rehabilitation welfare engineering & assistive technology
• /
• v.11 no.2
• /
• pp.187-198
• /
• 2017

In this study, we analyzed the accessibility of open platform Android mobile banking applications, based on Korean mobile application accessibility KS standard, Section 508 technical standard of Rehabilitation Act, and European BBC guidelines. Experimental result showed that there are no mobile banking applications of 8 commercial banks in Korea that satisfy all guidelines of three standards. Typical violations included missing alternative text, keyboard focus violations, control size and spacing non-compliance, and low contrast ratio. These violations are fatal in that they make the accessibility of the blind, the disabled and the low vision and the elderly impossible. The reason that mobile banking applications do not comply with accessibility is that mobile application developers and providers have low awareness of accessibility and do not know how to implement accessibility properly. Comparing Korea mobile application accessibility guidelines with the revised standard of the Section 508 of Rehabilitation Act and the BBC standard, many guidelines are missing. Also, evaluation criteria are ambiguous and abstract, making it difficult for developers to refer specifically. Therefore, improving mobile application accessibility requires developer and government efforts and complementation of standards.

• The Journal of Korean Association of Computer Education
• /
• v.3 no.1
• /
• pp.87-95
• /
• 2000

In current computer education, we have inclined to emphasize information literacy for k-12 students. On the other hand, in spite that teachers are core variable in school education system, we have neglected teacher's education of information and communication technology. In addition, we haven't made a effort to expand preservice teacher's ability to utilize information and communication technology in the teacher's college and the college of education. With these recognitions, we made a diagnosis of problems by analysis of current condition of curriculum of the teacher's college and the college of education and explored the vision of ICT utilization education in k-12 computer education in this study. In addition, we suggested educational objectives and contents based on national requiring standards for ICT in teacher preparation, required ICT capability of preservice teachers for kind of teacher's task and the direction of computer education.

• Journal of Convergence for Information Technology
• /
• v.7 no.6
• /
• pp.113-121
• /
• 2017

Due to the development of IT technology, harmful multimedia contents are spreading out. In addition, obscene and violent contents have a negative impact on children. Therefore, in this paper, we propose a multimodal approach for blocking obscene and violent video contents. Within this approach, there are two modules each detects obsceneness and violence. In the obsceneness module, there is a model that detects obsceneness based on adult and racy score. In the violence module, there are two models for detecting violence: one is the blood detection model using RGB region and the other is motion extraction model for observation that violent actions have larger magnitude and direction change. Through result of these three models, this approach judges whether or not the content is harmful. This can contribute to the blocking obscene and violent contents that are distributed indiscriminately.

• Journal of the Korean Institute of Gas
• /
• v.25 no.5
• /
• pp.88-96
• /
• 2021

Advanced Internet of Things (IoT) technology is being used in various ways for the safety of the energy industry. At the center of safety measures, drones play various roles on behalf of humans. Drones are playing a role in reaching places that are difficult to reach due to large-scale facilities and space restrictions that are difficult for humans to inspect. In this study, the accuracy and completeness of movement of dangerous facilities were tested using drone images, and it was confirmed that the movement recognition accuracy was 100%, the average data analysis accuracy was 95.8699%, and the average completeness was 100%. Based on the experimental results, a future-oriented facility risk analysis system combined with ICT technology was implemented and presented. Additional experiments with diversified conditions are required in the future, and ICT convergence analysis system implementation is required.

• Journal of Korean Tunnelling and Underground Space Association
• /
• v.25 no.3
• /
• pp.245-259
• /
• 2023

The purpose of this paper is to examine the most recent tunnel scanning systems to obtain insights for the development of non-contact mobile inspection system. Tunnel scanning systems are mostly being developed by adapting two main technologies, namely laser scanning and image scanning systems. Laser scanning system has the advantage of accurately recreating the geometric characteristics of tunnel linings from point cloud. On the other hand, image scanning system employs computer vision to effortlessly identify damage, such as fine cracks and leaks on the tunnel lining surface. The analysis suggests that image scanning system is more suitable for detecting damage on tunnel linings. A camera-based tunnel scanning system under development should include components such as lighting, data storage, power supply, and image-capturing controller synchronized with vehicle speed.