Despite their potential as a naturally-available clean energy option, the renewable energy
resources of the Democratic People's Republic of Korea (ie., North Korea) have rarely been …

Change detection based on satellite images acquired from an area at different dates is of
widespread interest, according to the increasing number of flood-related disasters. The images …

Although data-driven methods including deep neural network (DNN) were introduced, there
was not enough assessment about spatial characteristics when using limited ground …

Landslide susceptibility models are important for public safety, but often rely on inaccessible
or unaffordable software and geospatial data. Thus, affordable and accessible landslide …

Image segmentation has been recognized as an essential process that performs an object-based
rather than a pixel-based classification of high-resolution satellite imagery. This paper …

In this study, a sea ice mapping model based on Random Forest (RF), a rule-based
machine learning approach, has been developed for the Korea Multi-Purpose Satellite-5 (KOMPSAT-…

Over the past several decades, as sensor technology has improved, the spatial resolution of
satellite images has been steadily improving. The design, performance, and applications of …

In recent, cloud computing paradigm and open source as a huge trend in the Information
Communication Technology (ICT) are widely applied, being closely interrelated to each other in …

The Korea Aerospace Research Institute (KARI) has developed and operated a total of three
KOMPSAT series (K-3, 3A and 5). The main purpose of satellite development is to utilize …

Inter-band registration is an essential processing method that is used to generate satellite
imagery products with raw data obtained from a high-resolution satellite. The processing …