• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.36 no.5
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• pp.371-379
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• 2018

Unlike general VHR (Very-High-Resolution) satellite sensors that are mainly for panchromatic and MS (Multispectral) imaging, Worldview-3 sensor additionally provides eight SWIR (Short Wavelength Infrared) bands in wavelength range from 1198 nm to 2365 nm. This study investigates the effect of informative Worldview-3 SWIR bands for wetland classification performance. Worldview-3 imagery acquired over Sunchon Bay, which is a coastal wetland located in South Korea, is used to implement the classification. Land-cover classes for the scene are determined by referring to national land-cover maps, which are provided by the Ministry of Environment, overlapped with the scene. After that, training data for each determined class are collected. In order to analyze the effect of SWIR bands, classifications with and without SWIR bands are carried out and the results are then compared. In this regard, a SVM (Support Vector Machine) is utilized as their classifier. As a result of the accuracy assessments performed by test data that are independently extracted from training data, it was confirmed that classification performance was improved when the SWIR bands are included as input features for SVM-based classification.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.3
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• pp.203-209
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• 2021

With the recent development of satellite sensor technology, high-spatial-resolution imagery of various spectral wavelength bands have become possible. Worldview-3 satellite sensor provides panchromatic images with high-spatial-resolution and VNIR (Visible Near InfraRed) and SWIR (ShortWave InfraRed) bands with low-spatial-resolution, so it can be used in various fields such as defense, environment, and surveying. In this study, mineral detection was performed using Worldview-3 satellite imagery. In order to effectively utilize the VNIR and SWIR bands of the Worldview-3 satellite image, the sharpening technique was applied to the spatial resolution of the panchromatic image. To confirm the utility of SWIR bands for mineral detection, mineral detection using only VNIR bands was performed and comparatively evaluated. As the mineral detection technique, SAM (Spectral Angle Mapper), a representative similarity technique, was applied, and the pixels detected as minerals were selected by applying an empirical threshold to the analysis result. Quantitative evaluation was performed using reference data on the results of similarity analysis to evaluate the accuracy of mineral detection. As a result of the accuracy evaluation, the detection rate and false detection rate of mineral detecting using SWIR bands were calculated to be 0.882 and 0.011, respectively, and the results using only VNIR bands were 0.891 and 0.037, respectively. It was found that the detection rate when the SWIR bands were additionally used was lower than that when only the VNIR bands were used. However, it was found that the false detection rate was significantly reduced, and through this, it was possible to confirm the applicability of SWIR bands in mineral detection.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.34 no.4
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• pp.413-423
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• 2016

Worldview-3 satellite sensor provides panchromatic image with high-spatial resolution and 8-band multispectral images. Therefore, an image-sharpening technique, which sharpens the spatial resolution of multispectral images by using high-spatial resolution panchromatic images, is essential for various applications of Worldview-3 images based on image interpretation and processing. The existing pansharpening algorithms tend to tradeoff between spectral distortion and spatial enhancement. In this study, we applied six pansharpening algorithms to Worldview-3 satellite imagery and assessed the quality of pansharpened images qualitatively and quantitatively. We also analyzed the effects of time lag for each multispectral band during the pansharpening process. Quantitative assessment of pansharpened images was performed by comparing ERGAS (Erreur Relative Globale Adimensionnelle de Synthèse), SAM (Spectral Angle Mapper), Q-index and sCC (spatial Correlation Coefficient) based on real data set. In experiment, quantitative results obtained by MRA (Multi-Resolution Analysis)-based algorithm were better than those by the CS (Component Substitution)-based algorithm. Nevertheless, qualitative quality of spectral information was similar to each other. In addition, images obtained by the CS-based algorithm and by division of two multispectral sensors were shaper in terms of spatial quality than those obtained by the other pansharpening algorithm. Therefore, there is a need to determine a pansharpening method for Worldview-3 images for application to remote sensing data, such as spectral and spatial information-based applications.

• Korean Journal of Remote Sensing
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• v.38 no.5_2
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• pp.685-694
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• 2022

Building information is essential for various urban spatial analyses. For this reason, continuous building monitoring is required, but it is a subject with many practical difficulties. To this end, research is being conducted to extract buildings from satellite images that can be continuously observed over a wide area. Recently, deep learning-based semantic segmentation techniques have been used. In this study, a part of the structure of the context-based ResU-Net was modified, and training was conducted to automatically extract a building from a 30 cm Worldview-3 RGB image using SpaceNet's building v2 free open data. As a result of the classification accuracy evaluation, the f1-score, which was higher than the classification accuracy of the 2nd SpaceNet competition winners. Therefore, if Worldview-3 satellite imagery can be continuously provided, it will be possible to use the building extraction results of this study to generate an automatic model of building around the world.

• Hwankyungkyoyuk
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• v.20 no.3
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• pp.102-112
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• 2007

The purpose of this study is to examine the environmental worldviews of middle school students. An instrument to survey environmental worldviews consists two components; 'Human and Environment', and 'Human Behaviors and Environmental Problems' The two components are three environmental worldviews as follows: 'Technocentrism', 'Ecocentrism', 'and Environmentally Sound and Sustainable Development(ESSD)'Subjects were 551 middle school students in metropolitan area and rural district(male: 285, female: 266). Most of middle school students had the environmental worldview of the ESSD. More female students had a tendency ESSD worldview than males. More male students had the positive Technocentrism than females. More middle school students in metropolitan area had ecocentrism than those in rural district. Understandings of students' environmental worldviews will be helpful to work out teaching and learning strategies in environmental education.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.40 no.5
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• pp.439-448
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• 2022

MV (Moving Vehicle) detection using satellite imagery is important for traffic monitoring and provides a wide range of observations. Specifically, MV detection methods utilizing the time lag in single-pass optical satellite images have been studied for detecting MVs from a single set of images. Because of limitations in detecting MVs outside of roads, most previous studies required road information to limit the moving object to cars on the road. However, it is difficult to obtain road information from inaccessible areas. Therefore, this study proposed a new method for detecting MVs regardless of their locations from single-pass optical satellite images without using additional data. WV-3 (Worldview-3) satellite images were used, and a spatial correlation coefficient map was proposed to detect spatial displacement which denotes MVs across two WV-3 MS images. Finally, evaluation was performed through quantitative metrics and visual inspection. The evaluation results revealed that the proposed method can detect MV movements from the single-pass satellite images. On the contrary, misdetected or undetected MVs due to radiometric differences between the images could be identified by visual inspection. The performance of the proposed method can be improved by minimizing radiometric variations and adding conditions that are robust to radiometric differences between the images.

• Korean Journal of Remote Sensing
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• v.38 no.6_1
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• pp.1407-1422
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• 2022

This study was conducted to classify tree species and assess the classification accuracy, using SE-Inception, a classification-based deep learning model. The input images of the dataset used Worldview-3 and GeoEye-1 images, and the size of the input images was divided into 10 × 10 m, 30 × 30 m, and 50 × 50 m to compare and evaluate the accuracy of classification of tree species. The label data was divided into five tree species (Pinus densiflora, Pinus koraiensis, Larix kaempferi, Abies holophylla Maxim. and Quercus) by visually interpreting the divided image, and then labeling was performed manually. The dataset constructed a total of 2,429 images, of which about 85% was used as learning data and about 15% as verification data. As a result of classification using the deep learning model, the overall accuracy of up to 78% was achieved when using the Worldview-3 image, the accuracy of up to 84% when using the GeoEye-1 image, and the classification accuracy was high performance. In particular, Quercus showed high accuracy of more than 85% in F₁ regardless of the input image size, but trees with similar spectral characteristics such as Pinus densiflora and Pinus koraiensis had many errors. Therefore, there may be limitations in extracting feature amount only with spectral information of satellite images, and classification accuracy may be improved by using images containing various pattern information such as vegetation index and Gray-Level Co-occurrence Matrix (GLCM).

• Lingua Humanitatis
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• v.6
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• pp.77-108
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• 2004

This research focuses on the humboldt's thought for language. In Korea, only two themes, 'worldview' and 'nation' , problem of 'energeia' and 'ergon', was mostly researched. But we must research all together his thoughts, in order to understand his complete thoughts. His thoughts consist six themes : 1 . relation between thought and language. 2. problem of language-generation. 3. problem of translation. 4. substance of language. 5. worldview and nation. 6. energeia and ergon. From this five themes, we can understand, what his origin thought is. Therefore, we explained sequentially five themes in our paper. The theme 1, 5 and 6 are often interpretated between the scholars in Korea. But the theme 2 and 3 are not yet known. Therefore, we tried to explain it in this paper, what the problem of language-generation and the problem of translation are.tion and the problem of translation are.

• Journal of Daesoon Thought and the Religions of East Asia
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• v.3 no.2
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• pp.13-34
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• 2024

This article is a compilation of civilizational crises and their overcoming from the worldview of Daesoon Jinrihoe, based on the premise that religion can offer advice on the crises faced by modern civilization. It is a reinterpretation of human history from a religious perspective, focusing on mutual contentions, grievances, grudges, and their overcoming. Daesoon Jinrihoe explains that modern civilizational crises were first recognized by divine beings in the 18th and 19th centuries, and then later recognized by humans in the 20th and 21st centuries. Unable to resolve the civilization crises, the divine beings asked the Supreme God to intervene in human history, and the Supreme God was born in a human body to reveal the root causes and development of various civilizational crise sand to propose solutions to overcome them. These solutions encompass setting the world aright and ushering in a new era through the Reordering Works of Heaven and Earth (天地公事), attaining enduring peace by practicing grievance resolution for mutual beneficence (解冤相生), and reconstructing the relationship between divine beings and humans in harmonious coexistence. Devotees hold that Daesoon Jinrihoe is a religion that originated as a solution to a problem faced by God rather than humankind. As such, it considers the crises of civilization and their overcoming as the reason for existence. According to the religion's worldview, the Supreme God has already provided the solution to these civilizational crises. With a tip of the hat to the film Interstellar (2014), it could be said, "God Found a Way. He Always Has." Now, Daesoon Jinrihoe posits that it is up to humans to implement the way that God found.

• The Journal of the Korea Contents Association
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• v.17 no.3
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• pp.462-473
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• 2017

This study suggested appropriate media educational model for the Korean situation based on the two previous research results concerning Korean media mental model which have abstracted from elementary schoolers and parents respectively living in and around Seoul. This looked through typical media educational model being in effect in Western countries such as Buckingham's creation-centered model, Hobbs' action-centered model, Potter's analysis-centered model and Vanhoozer's worldview-centered model, synthesized all the strengths of each model, and finally modified and reorganized this new model to reflect demanders' needs. Newly developed demander-centered educational model is a kind of circulation model consisting of a chain of the steps: worldview and viewpoints, use(access), analysis and evaluation, reflection, and social act; Each step borrowed the essential contents of each domain of objectives and tried to reflect the specific situations for Korean demanders. The needs for media use etiquette against addiction and cyberbullying were applied to the step of 'worldview and viewpoint', the needs for the educational status of books as media to 'use(access)', and the reality of highly used digital media to 'social act.'