Results 21 to 30 of about 23,698,312 (402)

COMP Report: CPQR technical quality control guidelines for use of positron emission tomography/computed tomography in radiation treatment planning

open access: yesJournal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022
Abstract Positron emission tomography with x‐ray computed tomography (PET/CT) is increasingly being utilized for radiation treatment planning (RTP). Accurate delivery of RT therefore depends on quality PET/CT data. This study covers quality control (QC) procedures required for PET/CT for diagnostic imaging and incremental QC required for RTP.
Ran Klein   +7 more
wiley   +1 more source

Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine

open access: yesRemote Sensing, 2021
Sentinel-1 satellites provide temporally dense and high spatial resolution synthetic aperture radar (SAR) imagery. The open data policy and global coverage of Sentinel-1 make it a valuable data source for a wide range of SAR-based applications.
Adugna G. Mullissa   +7 more
semanticscholar   +1 more source

PlanetScope, Sentinel-2, and Sentinel-1 Data Integration for Object-Based Land Cover Classification in Google Earth Engine

open access: yesRemote Sensing, 2022
PlanetScope (PL) high-resolution composite base maps have recently become available within Google Earth Engine (GEE) for the tropical regions thanks to the partnership between Google and the Norway’s International Climate and Forest Initiative (NICFI ...
Marco Vizzari
semanticscholar   +1 more source

The application of multiple metrics in deformable image registration for target volume delineation of breast tumor bed

open access: yesJournal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022
Abstract Background and purpose For postoperative breast cancer patients, deformable image registration (DIR) is challenged due to the large deformations and non‐correspondence caused by tumor resection and clip insertion. To deal with it, three metrics (fiducial‐, region‐, and intensity‐based) were jointly used in DIR algorithm for improved accuracy ...
Xin Xie   +6 more
wiley   +1 more source

Lite-YOLOv5: A Lightweight Deep Learning Detector for On-Board Ship Detection in Large-Scene Sentinel-1 SAR Images

open access: yesRemote Sensing, 2022
Synthetic aperture radar (SAR) satellites can provide microwave remote sensing images without weather and light constraints, so they are widely applied in the maritime monitoring field.
Xiaowo Xu, Xiaoling Zhang, Tianwen Zhang
semanticscholar   +1 more source

Sample-free automated mapping of double-season rice in China using Sentinel-1 SAR imagery

open access: yesFrontiers in Environmental Science, 2023
Introduction: Timely and accurately mapping the spatial distribution of rice is of great significance for estimating crop yield, ensuring food security and freshwater resources, and studying climate change.
Xi Zhang   +8 more
doaj   +1 more source

Integrated use of Sentinel-1 and Sentinel-2 data and open-source machine learning algorithms for land cover mapping in a Mediterranean region

open access: yesEuropean Journal of Remote Sensing, 2022
This paper aims to develop a supervised classification integrating synthetic aperture radar (SAR) Sentinel-1 (S1) and optical Sentinel-2 (S2) data for land use/land cover (LULC) mapping in a heterogeneous Mediterranean forest area.
G. De Luca   +3 more
semanticscholar   +1 more source

Detection of Floating Debris in the Lake Using Statistical Properties of Synthetic Aperture Radar Pulses [PDF]

open access: yesGeo Data, 2023
This study developed the European Space Agency (ESA) Setinel-1 Ground Range Detected (GRD) time series analysis model for monitoring floating debris in lake areas through Google Earth Engine Application Programming Interface.
Donghyeon Yoon, Ha-eun Yu, Moung-Jin Lee
doaj   +1 more source

Sentinel-1-Based Water and Flood Mapping: Benchmarking Convolutional Neural Networks Against an Operational Rule-Based Processing Chain

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
In this study, the effectiveness of several convolutional neural network architectures (AlbuNet-34/FCN/DeepLabV3+/U-Net/U-Net++) for water and flood mapping using Sentinel-1 amplitude data is compared to an operational rule-based processor (S-1FS).
Max Helleis   +4 more
semanticscholar   +1 more source

Surface Water Mapping and Flood Monitoring in the Mekong Delta Using Sentinel-1 SAR Time Series and Otsu Threshold

open access: yesRemote Sensing, 2022
The annual flood and the alteration in hydrological regimes are the most vital concerns in the Vietnamese Mekong Delta (VMD). Although synthetic aperture radar (SAR) Sentinel-1 imagery is widely used for water management, only a few studies have used ...
Khuong H. Tran, M. Menenti, L. Jia
semanticscholar   +1 more source

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