Results 11 to 20 of about 143,552 (153)
GIScience & Remote Sensing, 2020 In this paper, we propose a method to regenerate Rational Polynomial Coefficients (RPCs) using KOMPSAT-3A imagery and to reduce the geolocation error using minimum ground control points (GCPs).
Namhoon Kim +3 more
doaj +5 more sources
A Validation Experiment of the Reflectance Products of KOMPSAT-3A Based on RadCalNet Data and Its Applicability to Vegetation Indexing [PDF]
Remote Sensing, 2020 Surface reflectance products obtained through the absolute atmospheric correction of multispectral satellite images are useful for precise scientific applications.
Kwangseob Kim, Kiwon Lee
doaj +4 more sources
The Impact of GCP Chip Distribution on Kompsat-3A RPC Bias Compensation
Applied SciencesThe vast potential of high-resolution satellite images, including Kompsat-3A, has been demonstrated across diverse applications, such as mapping and disaster monitoring.
Hyeonjeong Jo, Changno Lee, Jaehong Oh
doaj +3 more sources
Remote SensingAfter the launch of a high-resolution remote sensing satellite, representative spatial quality estimators (RER, FWHM, MTF50, MTFA) are measured from images taken of ground Edge targets.
Donghan Lee, Daesoon Park, Daehoon Yoo
doaj +4 more sources
RPC Correction Coefficient Extrapolation for KOMPSAT-3A Imagery in Inaccessible Regions
Remote SensingHigh-resolution pushbroom satellites routinely acquire multi-tenskilometer-scale strips whose vendors’ rational polynomial coefficients (RPCs) exhibit systematic, direction-dependent biases that accumulate downstream when ground control is sparse.
Namhoon Kim
doaj +3 more sources
Mapping co-seismic surface deformation using high-resolution KOMPSAT-3/3A image correlation for the 2023 Kahramanmaraş earthquakes, Türkiye [PDF]
Scientific ReportsLarge earthquakes commonly generate surface rupture accompanied by both localized on-fault slip and spatially distributed off-fault deformation. Capturing both components is essential for understanding rupture processes and improving earthquake hazard ...
Chaehyeon Choi, Jin-Hyuck Choi
doaj +2 more sources
Remote Sensing, 2020 Kompsat-3/3A provides along-track and across-track stereo data for accurate three-dimensional (3D) topographic mapping. Stereo data preprocessing involves conjugate point extraction and acquisition of ground control points (GCPs), rational polynomial ...
Jaehong Oh, Youkyung Han
doaj +2 more sources
Multi-Spectral Band Analysis for Satellite-to-Aerial Image Registration: A Comparative Study of Deep Learning and Traditional Feature-Matching Methods [PDF]
SensorsPrecise geometric registration between high-resolution satellite imagery and aerial orthophotos is essential for generating high-definition (HD) maps that support autonomous vehicle navigation.
Dongyeob Han +2 more
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KOMPSAT-3/3A Image-text Dataset for Training Large Multimodal Models [PDF]
Geo DataThis study aims to improve the accuracy and interpretability of large multimodal models (LMMs) specialized in satellite image analysis by constructing an image-text dataset based on KOMPSAT-3/3A imagery and presenting the results of training using this ...
Han Oh, Dong-Bin Shin, Dae-Won Chung
doaj +3 more sources
Korean Journal of Remote Sensing, 2017 This study investigates the geometric and spatial image quality analysis of KOMPSAT-3A stereo pair. KOMPSAT-3A is, the latest satellite of KOMPSAT family, a Korean earth observation satellite operating in optical bands. A KOMPSAT-3A stereo pair was taken on 23 November, 2015 with 0.55 m ground sampling distance over Terrassa area of Spain.
Taejung Kim
exaly +3 more sources