Results 71 to 80 of about 221,330 (163)

KFGOD: A Fine-Grained Object Detection Dataset in KOMPSAT Satellite Imagery

Remote Sensing
Object detection in high-resolution satellite imagery is a critical technology for various applications, yet it faces persistent challenges due to extreme variations in object scale, orientation, and density.
Dong Ho Lee, Ji Hun Hong, Hyun Woo Seo, Han Oh   +3 more
doaj   +1 more source

Evaluation of Cloud Mask Performance of KOMPSAT-3 Top-of-Atmosphere Reflectance Incorporating Deeplabv3+ with Resnet 101 Model

Applied Sciences
Cloud detection is a crucial task in satellite remote sensing, influencing applications such as vegetation indices, land use analysis, and renewable energy estimation.
Suhwan Kim, Doehee Han, Yejin Lee, Eunsu Doo, Han Oh, Jonghan Ko, Jongmin Yeom   +6 more
doaj   +1 more source

The HPV cellular transactivator Brn-3a can be used to predict cervical adenocarcinoma and squamous carcinoma precancer lesions in the developed and developing worlds

, 2009
The cellular transactivator Brn-3a has previously been shown to be expressed at elevated levels in the cervix of women with squamous cell carcinoma of the cervix (SCC) and to activate the expression of HPV E6 mRNA.
Ndisang, D., Ashfaq Khan, Sindos, M., Lorenzato, F., Khan, A., Latchman, David S., Singer, A., Felipe Lorenzato, David S. Latchman, Daniel Ndisang, Michael Sindos, Albert Singer   +11 more
core   +1 more source

Performance Comparison of KOMPSAT-5 Precision Orbit Determination with GRACE

, 2020
The Korean Multipurpose Satellite-5 (KOMPSAT-5) launched on 22 August 2013 was equipped with a global positioning system (GPS) receiver for precision orbit determination (POD).
Yoola Hwang, Kyoung-Min Roh
core   +1 more source

Improved Piecewise Linear Transformation for Precise Warping of Very-High-Resolution Remote Sensing Images

Remote Sensing, 2019
A large number of evenly distributed conjugate points (CPs) in entirely overlapping regions of the images are required to achieve successful co-registration between very-high-resolution (VHR) remote sensing images.
Youkyung Han, Taeheon Kim, Junho Yeom
doaj   +1 more source

Rural Home Annotation Dataset Mapped by Citizen Scientists in Satellite Imagery. [PDF]

Data Brief, 2022
Leonard A, Wheeler S, McCulloch M.
europepmc   +1 more source

Electromagnetic Compatibility Design for KOMPSAT-2

, 2003
It is quite essential that requirements allocation and analysis would be done for the electromagnetic compatibility (EMC) of all units when designing a satellite.
Na-Young Lee, Jin-Ho Lee
core   +1 more source

Design and Flight Software Embedding of KOMPSAT-2 Simulator

, 2002
The design feature of KOMPSAT-2 simulator based on object oriented design methodology in terms of unified modeling language (UML) has been discussed in this paper. Also, we present how to embed flight software into the simulator.
Sanguk Lee, Sungki Cho, Jae Hoon Kim
core   +1 more source

Improving the Universal Performance of Land Cover Semantic Segmentation Through Training Data Refinement and Multi-Dataset Fusion via Redundant Models

Remote Sensing
Artificial intelligence (AI) has become the mainstream of analysis tools in remote sensing. Various semantic segmentation models have been introduced to segment land cover from aerial or satellite images, and remarkable results have been achieved ...
Jae Young Chang, Kwan-Young Oh, Kwang-Jae Lee   +2 more
doaj   +1 more source

Cloud Detection Using a UNet3+ Model with a Hybrid Swin Transformer and EfficientNet (UNet3+STE) for Very-High-Resolution Satellite Imagery

Remote Sensing
It is necessary to extract and recognize the cloud regions presented in imagery to generate satellite imagery as analysis-ready data (ARD). In this manuscript, we proposed a new deep learning model to detect cloud areas in very-high-resolution (VHR ...
Jaewan Choi, Doochun Seo, Jinha Jung, Youkyung Han, Jaehong Oh, Changno Lee   +5 more
doaj   +1 more source