363 research outputs found
Landslides
Landslides - Investigation and Monitoring offers a comprehensive overview of recent developments in the field of mass movements and landslide hazards. Chapter authors use in situ measurements, modeling, and remotely sensed data and methods to study landslides. This book provides a thorough overview of the latest efforts by international researchers on landslides and opens new possible research directions for further novel developments
Training of Crisis Mappers and Map Production from Multi-sensor Data: Vernazza Case Study (Cinque Terre National Park, Italy)
This aim of paper is to presents the development of a multidisciplinary project carried out by the cooperation between Politecnico di Torino and ITHACA (Information Technology for Humanitarian Assistance, Cooperation and Action). The goal of the project was the training in geospatial data acquiring and processing for students attending Architecture and Engineering Courses, in order to start up a team of "volunteer mappers". Indeed, the project is aimed to document the environmental and built heritage subject to disaster; the purpose is to improve the capabilities of the actors involved in the activities connected in geospatial data collection, integration and sharing. The proposed area for testing the training activities is the Cinque Terre National Park, registered in the World Heritage List since 1997. The area was affected by flood on the 25th of October 2011. According to other international experiences, the group is expected to be active after emergencies in order to upgrade maps, using data acquired by typical geomatic methods and techniques such as terrestrial and aerial Lidar, close-range and aerial photogrammetry, topographic and GNSS instruments etc.; or by non conventional systems and instruments such us UAV, mobile mapping etc. The ultimate goal is to implement a WebGIS platform to share all the data collected with local authorities and the Civil Protectio
Deep Learning Methods for Remote Sensing
Remote sensing is a field where important physical characteristics of an area are exacted using emitted radiation generally captured by satellite cameras, sensors onboard aerial vehicles, etc. Captured data help researchers develop solutions to sense and detect various characteristics such as forest fires, flooding, changes in urban areas, crop diseases, soil moisture, etc. The recent impressive progress in artificial intelligence (AI) and deep learning has sparked innovations in technologies, algorithms, and approaches and led to results that were unachievable until recently in multiple areas, among them remote sensing. This book consists of sixteen peer-reviewed papers covering new advances in the use of AI for remote sensing
Advanced Operation and Maintenance in Solar Plants, Wind Farms and Microgrids
This reprint presents advances in operation and maintenance in solar plants, wind farms and microgrids. This compendium of scientific articles will help clarify the current advances in this subject, so it is expected that it will please the reader
A Comprehensive Review on Computer Vision Analysis of Aerial Data
With the emergence of new technologies in the field of airborne platforms and
imaging sensors, aerial data analysis is becoming very popular, capitalizing on
its advantages over land data. This paper presents a comprehensive review of
the computer vision tasks within the domain of aerial data analysis. While
addressing fundamental aspects such as object detection and tracking, the
primary focus is on pivotal tasks like change detection, object segmentation,
and scene-level analysis. The paper provides the comparison of various hyper
parameters employed across diverse architectures and tasks. A substantial
section is dedicated to an in-depth discussion on libraries, their
categorization, and their relevance to different domain expertise. The paper
encompasses aerial datasets, the architectural nuances adopted, and the
evaluation metrics associated with all the tasks in aerial data analysis.
Applications of computer vision tasks in aerial data across different domains
are explored, with case studies providing further insights. The paper
thoroughly examines the challenges inherent in aerial data analysis, offering
practical solutions. Additionally, unresolved issues of significance are
identified, paving the way for future research directions in the field of
aerial data analysis.Comment: 112 page
Training of Crisis Mappers and Map Production from Multi-sensor Data: Vernazza Case Study (Cinque Terre National Park, Italy)
This aim of paper is to presents the development of a multidisciplinary project carried
out by the cooperation between Politecnico di Torino and ITHACA (Information
Technology for Humanitarian Assistance, Cooperation and Action). The
goal of the project was the training in geospatial data acquiring and processing for
students attending Architecture and Engineering Courses, in order to start up a
team of “volunteer mappers”. Indeed, the project is aimed to document the environmental
and built heritage subject to disaster; the purpose is to improve the capabilities
of the actors involved in the activities connected in geospatial data collection,
integration and sharing. The proposed area for testing the training
activities is the Cinque Terre National Park, registered in the World Heritage List since 1997. The area was affected by flood on the 25th of October 2011. According
to other international experiences, the group is expected to be active after
emergencies in order to upgrade maps, using data acquired by typical geomatic
methods and techniques such as terrestrial and aerial Lidar, close-range and aerial
photogrammetry, topographic and GNSS instruments etc.; or by non conventional
systems and instruments such us UAV, mobile mapping etc. The ultimate goal is
to implement a WebGIS platform to share all the data collected with local authorities
and the Civil Protection
斜面崩壊の分布図作成、分類、発生しやすさの評価 : 日本と中国を例に
学位の種別: 課程博士審査委員会委員 : (主査)東京大学教授 小口 高, 東京大学教授 斎藤 馨, 東京大学教授 須貝 俊彦, 東京大学准教授 芦 寿一郎, 東京大学准教授 早川 裕一University of Tokyo(東京大学
- …