“the Bridge To Resolution: Benefits Of Lawyers In Alternative Dispute Resolution”

“the Bridge To Resolution: Benefits Of Lawyers In Alternative Dispute Resolution” – A bridge neural network (BNN-) based framework can optimize the accuracy and enhance the applicability of remote sensing data interpretation. Credit: Space: Science & Technology Editors

In an example of the burgeoning field of ‘data fusion’, researchers have developed a neural network technique that bridges optical imaging and synthetic aperture radar into a single comprehensive data source. This approach combines various sets of information more capably than traditional methods.

“the Bridge To Resolution: Benefits Of Lawyers In Alternative Dispute Resolution”

The approach is described in a paper in the Space: Science and Technology magazine published on October 12.

Redefining Dispute Resolution: Pwc

Most contemporary techniques used to interpret information from remote sensing (such as from satellites or planes) are focused on single-modal data – that obtained from a single source of data collection. Such interpretive technologies rarely make full use of multiple sources (or ‘modes’), and so do not use complementary data that, when put together, can tell a fuller story of what is being observed.

One example of this is how optical imaging from satellites—the kind of passive beam scanning many scientists working with remote-sensing data will be familiar with—is rarely paired with synthetic aperture radar, or SAR. SAR is a form of radar that produces its own energy and then records the amount of energy that is reflected back after interacting with the Earth. Although optical imagery is similar to interpreting a photograph, SAR data requires a different way of thinking, as the signal is instead responsive to surface characteristics.

Crucially, unlike optical imaging, SAR is not defeated by challenging illumination conditions or clouds and fog. However, it suffers from a lot of data ‘noise’ and low texture details, which means that even well-trained experts sometimes struggle to interpret the result.

As a result, in the last decade or so, efforts to use artificial intelligence to combine multiple modes of data collection, such as both optical imaging and SAR, together into a single comprehensive source have begun to be developed. This fusing together of data from different modes or types of sensors is often called ‘data fusion’.

Public Agency Advocacy

This emerging area of ​​innovation promises to revolutionize fields that use remote sensing – as varied as land-use monitoring, pollution prevention and military intelligence – by combining various sets of information in a single source faster, more comprehensively and more capably than traditional methods.

One critical area where data fusion promises to offer substantial benefit is in disaster response. Such activities would be more timely if SAR and optical imaging could be ‘data fused’ together as adverse weather and night would no longer be obstacles to rescue and monitoring work. In addition, trying to track down a missing flight like that of the infamous Malaysia Airlines Flight 370 that disappeared after leaving Kuala Lumpur in 2014 should become easier.

“At the time of the missing flight, human analysts struggled with the volume and variety of space-based data,” said Meiyu Huang, an assistant professor with the Qian Xuesen Laboratory of Space Technology. “If we can find a way to analyze SAR and optical imaging, rescuers should be able to use time-series remote sensing data from multiple sources to detect and pinpoint phenomena in very large areas much faster.”

The researchers developed a data fusion algorithm they call a bridge neural network, or BNN, to combine optical and SAR data. It enhances the observed features that are common to both data sources so as to assist the AI ​​to better produce matches between them.

Illinois Qc Police Release Document Addressing Police Reform, Community Justice

First of all, the AI ​​must be trained on a very large collection of SAR and optical data. So the researchers also put together a dataset of 20,000 pairs of perfectly aligned optical-SAR image matches from various high-resolution scenes of San Diego, Shanghai and Qingdao. The SAR images come from the Gaofen-3 satellite while the corresponding optical images are drawn from Google Earth. The collection, which they call the QXS-SAROPT, is made publicly available under an open access license for other researchers to use.

After training the BNN on the QXS-SAROPT dataset, the researchers tested the BNN model on an optical-to-SAR crossmodal object detection task on four benchmark detection datasets of ships at sea and in port. They found that their technique achieved up to a 96 percent accuracy rate.

This approach is far from limited to detecting boats or planes though. It can be applied to interpretive tasks such as segmenting and then checking the health of different crops, monitoring flood conditions and even identifying buildings under construction in rapidly urbanizing areas to assist with quantifying economic development in an area.

Going forward, the research group hopes to further develop a deep learning framework to integrate all possible steps (‘end to end’) in a data processing workflow on board. This should automate the process of wide-area search for detecting, monitoring and characterizing the progression of natural or human-caused events using time-series spectral images from several space-based sensors.

How Much Resolution Do You Really Need?

More information: Meiyu Huang et al, A Bridge Neural Network-Based Optical-SAR Image Joint Intelligent Interpretation Framework, Space: Science & Technology (2021). DOI: 10.34133/2021/9841456

Cite: Disaster relief could benefit from neural net combining multiple remote data sources (2021, December 21) Retrieved August 14, 2023 from https:///news/2021-12-disaster-relief-benefit-neural-net.html

This document is subject to copyright. Except for any fair trade for the purpose of private study or research, no part may be reproduced without written permission. This content is provided for informational purposes only.

Don’t expect quick fixes in ‘red-timing’ from AI models. Security was an additional 11 hours ago An origami-inspired universally deformable module for robotics applications August 12, 2023 Foundations seek to advance AI for good—and also protect the world from its threats August 11, 2023 A new message encryption scheme inspired by the Sudoku puzzle August 11, 2023 The future of hydrogen fuel: Developing a technique to analyze the stability of the hydrogen fuel cell August 11, 2023 Computer security experts offer advice to mitigate the risk of thermal attacks. The Future Aug 10, 2023 New tool finds bias in modern generative AI model Aug 10, 2023 Little incentive found to boost low-income solar project Aug 10, 2023 Electrochemical process could boost efficiency of capturing carbon directly from air Aug 10, 2023

Pdf) Improved Differentiable Neural Architecture Search For Single Image Super Resolution

This site uses cookies to assist with navigation, analyze your use of our services, collect data for personalized ads and deliver content from third parties. By using our site, you acknowledge that you have read and understand our privacy policy and terms of use. As virtual production becomes a significant method for filmmakers, the demand for digital backgrounds is growing. Photogrammetry techniques provide photo-realistic environments that are optimized specifically for virtual production. Photo-realism is based on the beneficial combination of LiDAR and photogrammetry.

‘The Bridge’ case study shows how these two incredible techniques work together. A detailed copy of the real environment with high resolution texture maps is created from the photogrammetric images. The precise LiDAR data adds another level of detail and accuracy to the reconstructed geometry. It generates sharp edges and clear structures in the scan. We used the Z + F Imager 5016 to capture a scan point every 6 millimeters at a distance of 10 meters.

To take the photos we used the Sony α7R full-frame camera with 61 megapixels and a 35mm lens. We captured two 360° HDRIs on both sides of the bridge with a Nodal Ninja and the Sony α7R with an 8mm lens. For each 360° HRI six sets of 5 bracketed images are stitched together. We generated HDR textures of characteristic elements of the site like street signs or water damage.

In addition, we carefully selected small parts of the surfaces of the environment, for example a patch of ​​the brick wall, and 3D scanned the parts separately and closely. The loose 3D samples are then used to generate partable and real-time ready materials. The new innovative workflow developed by opens up new possibilities to quickly create high quality and lightweight environments for virtual production.

Multilevel Cultural Evolution: From New Theory To Practical Applications

The Z + F Imager 5016 laser scanner (left) The Nodal Ninja with the Sony α7R and an 8mm lens (right) The value of customer data for businesses is undeniable. However, the scale and complexity of data, and the many available point solutions, requires robust, flexible, open and privacy secure solutions. Enter the Customer Data Platform (CDP) as an integral part of the marketing technology and enterprise ecosystems. This book serves as your comprehensive guide to understanding, implementing, and leveraging CDPs with a special focus on Google Cloud Platform offerings.

Whether you’re a business leader, an IT director, a marketing professional, or a data scientist, this book will equip you with the knowledge you need to navigate the world of customer data platforms through the lens of multiple client experiences.

“As a pioneer, Jan Hendrik has been exploring and leveraging the advantages of Public Cloud ecosystems as the basis for CDPs for many years. In this book, he generously shares his valuable insights, best practices and client examples. This is an essential read.”

“In this comprehensive and insightful book, Jan Hendrik provides a clear and concise overview of a wide range of topics that need to be considered when building a CDP. He also details.

The 6 Benefits Of Buying An Apartment Building

Adr alternative dispute resolution, alternative dispute resolution law, alternative dispute resolution course, alternative dispute resolution, alternative dispute resolution firms, alternative dispute resolution certificate, online alternative dispute resolution, benefits of alternative dispute resolution, alternative dispute resolution lawyers, alternative dispute resolution training, alternative dispute resolution certification, alternative dispute resolution services