Results 11 to 20 of about 770,289 (341)
SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis
Remote Sensing, 2021 SAR Ship Detection Dataset (SSDD) is the first open dataset that is widely used to research state-of-the-art technology of ship detection from Synthetic Aperture Radar (SAR) imagery based on deep learning (DL). According to our investigation, up to 46.59%
Tianwen Zhang +15 more
semanticscholar +1 more source
Ground and Volume Decomposition as a Proxy for AGB from P-Band SAR Data
Remote Sensing, 2020 In this work, the role of volume scattering obtained from ground and volume decomposition of P-band synthetic aperture radar (SAR) data as a proxy for biomass is investigated. The analysis here presented originates from the BIOMASS L2 activities, part of
Francesco Banda +2 more
doaj +1 more source
Deep Learning Meets SAR: Concepts, models, pitfalls, and perspectives [PDF]
IEEE Geoscience and Remote Sensing Magazine, 2020 Deep learning in remote sensing has received considerable international hype, but it is mostly limited to the evaluation of optical data. Although deep learning has been introduced in synthetic aperture radar (SAR) data processing, despite successful ...
Xiaoxiang Zhu +8 more
semanticscholar +1 more source
An Anchor-Free Detection Method for Ship Targets in High-Resolution SAR Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 With the rapid development of earth observation technology, high-resolution synthetic aperture radar (HR SAR) imaging satellites could provide more observational information for maritime surveillance. However, there are still some problems to detect ship
Zhongzhen Sun +6 more
semanticscholar +1 more source
Use of SAR and Optical Time Series for Tropical Forest Disturbance Mapping
Remote Sensing, 2020 Frequent cloud cover and fast regrowth often hamper topical forest disturbance monitoring with optical data. This study aims at overcoming these limitations by combining dense time series of optical (Sentinel-2 and Landsat 8) and SAR data (Sentinel-1 ...
Manuela Hirschmugl +5 more
doaj +1 more source
A Sentinel-1 Based Processing Chain for Detection of Cyclonic Flood Impacts
Remote Sensing, 2020 In the future, climate change will induce even more severe hurricanes. Not only should these be better understood, but there is also a necessity to improve the assessment of their impacts.
Cyprien Alexandre +6 more
doaj +1 more source
HRSID: A High-Resolution SAR Images Dataset for Ship Detection and Instance Segmentation
IEEE Access, 2020 With the development of satellite technology, up to date imaging mode of synthetic aperture radar (SAR) satellite can provide higher resolution SAR imageries, which benefits ship detection and instance segmentation.
Shunjun Wei +5 more
semanticscholar +1 more source
Quad-FPN: A Novel Quad Feature Pyramid Network for SAR Ship Detection
Remote Sensing, 2021 Ship detection from synthetic aperture radar (SAR) imagery is a fundamental and significant marine mission. It plays an important role in marine traffic control, marine fishery management, and marine rescue.
Tianwen Zhang, Xiaoling Zhang, Xiao Ke
semanticscholar +1 more source
Journal of the Civil Engineering Forum, 2021 Floods are triggered by water overflow into drylands from several sources, including rivers, lakes, oceans, or heavy rainfall. Near real-time (NRT) flood mapping plays an important role in taking strategic measures to reduce flood damage after a flood ...
Pollen Chakma, Aysha Akter
doaj +1 more source
GICS, a new concept to enhance in-flight safety and security of commercial aviation [PDF]
MATEC Web of Conferences, 2019 This paper presents a new concept of aircraft tracking based on a LEO constellation of small satellites, each of them carrying receiving and transmitting devices in order to check the integrity of the ADS-B (Automatic Dependent Surveillance - Broadcast ...
Lesturgie Marc +2 more
doaj +1 more source