• Korean Journal of Remote Sensing
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• v.39 no.6_1
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• pp.1283-1297
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• 2023

Mid-wave infrared (MWIR) imagery, due to its ability to capture the temperature of land cover and objects, serves as a crucial data source in various fields including environmental monitoring and defense. The KOMPSAT-3A satellite acquires MWIR imagery with high spatial resolution compared to other satellites. However, the limited spatial resolution of MWIR imagery, in comparison to electro-optical (EO) imagery, constrains the optimal utilization of the KOMPSAT-3A data. This study aims to create a highly visible MWIR fusion image by leveraging the edge information from the KOMPSAT-3A panchromatic (PAN) image. Preprocessing is implemented to mitigate the relative geometric errors between the PAN and MWIR images. Subsequently, we employ a pre-trained pixel difference network (PiDiNet), a deep learning-based edge information extraction technique, to extract the boundaries of objects from the preprocessed PAN images. The MWIR fusion imagery is then generated by emphasizing the brightness value corresponding to the edge information of the PAN image. To evaluate the proposed method, the MWIR fusion images were generated in three different sites. As a result, the boundaries of terrain and objects in the MWIR fusion images were emphasized to provide detailed thermal information of the interest area. Especially, the MWIR fusion image provided the thermal information of objects such as airplanes and ships which are hard to detect in the original MWIR images. This study demonstrated that the proposed method could generate a single image that combines visible details from an EO image and thermal information from an MWIR image, which contributes to increasing the usage of MWIR imagery.

• Journal of the Korean Institute of Landscape Architecture
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• v.37 no.3
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• pp.82-90
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• 2009

The aim of this study is to identify the spatial foundation units required to execute a rural village landscape plan. Though there have been various previous studies on spatial foundation units for rural space and landscape elements, they are limited in clarifying the landscape identity of a rural village unit in creating a feasible a rural village landscape plan. Therefore, it is necessary to identify the natural spatial features of a rural village and then establish a landscape identity for each space by exploring the landscape elements for each rural village unit set as the basic unit. Accordingly, the basic spatial unit was analyzed through a 1:5000 scale mapping by applying geomancy theory to the spatial landscape unit in a naturally generated rural village. The spatial limitations for a rural village landscape were set based on the analysis. Afterwards, a field study on the feasibility of whether or not setting a space as the basic unit for landscape could have a sense of identity as a single landscape unit for verification was processed, and the spatial limitations for the landscape were adjusted. Moreover, landscape elements were investigated by classifying landscape resources based on rural amenity resources which have been diversely researched in terms of the set spatial boundaries, and the sense of identity for each landscape foundation unit was looked into. While the numerous preceding studies focused on exploring the rural landscape value and findingout the sense of identity on landscape elements, it is high time for feasible and applicable studies in conducting region-specific landscape plans. In particular, similar outcomes from all landscape plans, even those with the same purpose established in various regions, is not a desirable outcome. Therefore, a basic framework is needed to discover the landscape identity generated by each plan in a rural area space. In this sense, this study is significant in that itcan be utilized to establish spatial identity of each region and landscape features of each rural village, and come up with realistic alternatives in landscape plans for each region by exploring the landscape identity in each specific space divided per watershed in a single zone.