Results 81 to 90 of about 270 (140)

Sugarcane Health Monitoring With Satellite Spectroscopy and Machine Learning: A Review [PDF]

Research into large-scale crop monitoring has flourished due to increased accessibility to satellite imagery. This review delves into previously unexplored and under-explored areas in sugarcane health monitoring and disease/pest detection using satellite-
Azghadi, Mostafa Rahimi, Chen, Carla Chia-Ming, Waters, Ethan Kane   +2 more
core   +3 more sources

МІЖНАРОДНЕ СПІВРОБІТНИЦТВО УКРАЇНИ В СФЕРІ ІННОВАЦІЙ [PDF]

, 2016
The article considers the current state and prospects of Ukraine’s cooperation with other countries in the high tech industries, in particular space and aircraft, bio- and nanotechnologies, material science etc.
НЕВГАД, А., СІДЕНКО, С. В.   +1 more
core   +1 more source

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

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

Statistical Assessment of Accuracy and Precision in Satellite Spatial Quality Measurement Using Natural Edge Targets from KOMPSAT-3A

Remote Sensing
The spatial quality (RER, FWHM, MTF50, and MTFA) of an on-orbit high-resolution Earth observation satellite was statistically assessed using edges extracted from natural targets in urban imagery, rather than from a ground-based artificial edge target ...
DongHan Lee, Daehoon Yoo
doaj   +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

Optical observations of thunderstorms from the International Space Station: recent results and perspectives. [PDF]

NPJ Microgravity, 2023
Neubert T, Gordillo-Vázquez FJ, Huntrieser H.   +2 more
europepmc   +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

Hybrid Object-Based Augmentation and Histogram Matching for Cross-Domain Building Segmentation in Remote Sensing

Applied Sciences
Cross-domain building segmentation in high-resolution remote sensing imagery underpins urban change monitoring, disaster assessment, and exposure mapping.
Chulsoo Ye, Youngman Ahn
doaj   +1 more source