Results 31 to 40 of about 127,836 (187)

Application of Multifractal Analysis to Segmentation of Water Bodies in Optical and Synthetic Aperture Radar Satellite Images [PDF]

open access: yes, 2016
A method for segmenting water bodies in optical and synthetic aperture radar (SAR) satellite images is proposed. It makes use of the textural features of the different regions in the image for segmentation. The method consists in a multiscale analysis of
Figliola, Alejandra   +1 more
core   +2 more sources

A new road extraction method using Sentinel-1 SAR images based on the deep fully convolutional neural network

open access: yesEuropean Journal of Remote Sensing, 2019
There is a pressing need for an automatic road extraction method due to the continuous development of transportation networks. Free from the influence of weather, satellite-mounted synthetic-aperture radar (SAR) opens the way for such a road detection ...
Qianqian Zhang   +6 more
doaj   +1 more source

Machine Learning Techniques for Phenology Assessment of Sugarcane Using Conjunctive SAR and Optical Data

open access: yesRemote Sensing, 2022
Crop phenology monitoring is a necessary action for precision agriculture. Sentinel-1 and Sentinel-2 satellites provide us with the opportunity to monitor crop phenology at a high spatial resolution with high accuracy.
Md Yeasin   +4 more
doaj   +1 more source

Coherency Matrix Decomposition-Based Polarimetric Persistent Scatterer Interferometry [PDF]

open access: yes, 2019
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new ...
Mallorquí Franquet, Jordi Joan   +1 more
core   +2 more sources

Detection of Macroalgal Bloom from Sentinel−1 Imagery

open access: yesRemote Sensing, 2023
The macroalgal bloom (MAB) is caused by brown algae forming a floating mat. Most of its parts stay below the water surface, unlike green algae; thus, its backscatter value becomes weaker in the synthetic aperture radar (SAR) images, such as Sentinel−1 ...
Sree Juwel Kumar Chowdhury   +3 more
doaj   +1 more source

Assessment of multi-temporal, multi-sensor radar and ancillary spatial data for grasslands monitoring in Ireland using machine learning approaches [PDF]

open access: yes, 2014
Accurate inventories of grasslands are important for studies of carbon dynamics, biodiversity conservation and agricultural management. For regions with persistent cloud cover the use of multi-temporal synthetic aperture radar (SAR) data provides an ...
Barrett, Brian   +3 more
core   +1 more source

First Analyses of Sentinel-1 Images for Maritime Surveillance [PDF]

open access: yes, 2014
Sentinel-1 is the European Synthetic Aperture Radar (SAR) satellite operational since 3 October 2014. The SAR’s characteristics should make it suitable for maritime surveillance (ship detection), and it will routinely collect a large amount of maritime ...
SANTAMARIA SERNA CARLOS   +1 more
core   +1 more source

“Extended Descriptive Risk-Averse Bayesian Model” a More Comprehensive Approach in Simulating Complex Biological Motion Perception

open access: yesBiomimetics
The ability to perceive biological motion is crucial for human survival, social interactions, and communication. Over the years, researchers have studied the mechanisms and neurobiological substrates that enable this ability.
Khashayar Misaghian   +2 more
doaj   +1 more source

Opportunities and Challenges for the Estimation of Aquaculture Production Based on Earth Observation Data

open access: yesRemote Sensing, 2018
Aquaculture makes a crucial contribution to global food security and protein intake and is a basis for many livelihoods. Every second fish consumed today is produced in aquaculture systems, mainly in land-based water ponds situated along the coastal ...
Marco Ottinger   +2 more
doaj   +1 more source

Crop Detection Using Time Series of Sentinel-2 and Sentinel-1 and Existing Land Parcel Information Systems

open access: yesRemote Sensing, 2022
Satellite crop detection technologies are focused on the detection of different types of crops in fields. The information of crop-type area is more useful for food security than the earlier phenology stage is. Currently, data obtained from remote sensing
Herman Snevajs   +7 more
doaj   +1 more source

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