[HTML][HTML] Geographic object-based image analysis–towards a new paradigm
The amount of scientific literature on (Geographic) Object-based Image Analysis–GEOBIA
has been and still is sharply increasing. These approaches to analysing imagery have …
has been and still is sharply increasing. These approaches to analysing imagery have …
[HTML][HTML] Automated parameterisation for multi-scale image segmentation on multiple layers
We introduce a new automated approach to parameterising multi-scale image segmentation
of multiple layers, and we implemented it as a generic tool for the eCognition® software …
of multiple layers, and we implemented it as a generic tool for the eCognition® software …
Challenges and limitations of earthquake-induced building damage mapping techniques using remote sensing images-A systematic review
SS Matin, B Pradhan - Geocarto International, 2022 - Taylor & Francis
Assessing the extent and level of building damages is crucial to support post-earthquake
rescue and relief activities. There is a large body of literature proposing novel frameworks for …
rescue and relief activities. There is a large body of literature proposing novel frameworks for …
Detection of urban damage using remote sensing and machine learning algorithms: Revisiting the 2010 Haiti earthquake
AJ Cooner, Y Shao, JB Campbell - Remote Sensing, 2016 - mdpi.com
Remote sensing continues to be an invaluable tool in earthquake damage assessments and
emergency response. This study evaluates the effectiveness of multilayer feedforward …
emergency response. This study evaluates the effectiveness of multilayer feedforward …
A framework for spatio-temporal scales and concepts from different disciplines: the 'vulnerability cube'
S Kienberger, T Blaschke, RZ Zaidi - Natural Hazards, 2013 - Springer
The concept of vulnerability is increasingly used in the fields of disaster risk reduction and
climate change adaptation, as well as socioeconomic studies. This paper reviews research …
climate change adaptation, as well as socioeconomic studies. This paper reviews research …
Fast segmentation and classification of very high resolution remote sensing data using SLIC superpixels
O Csillik - Remote Sensing, 2017 - mdpi.com
Speed and accuracy are important factors when dealing with time-constraint events for
disaster, risk, and crisis-management support. Object-based image analysis can be a time …
disaster, risk, and crisis-management support. Object-based image analysis can be a time …
Transferability of convolutional neural network models for identifying damaged buildings due to earthquake
The collapse of buildings caused by earthquakes can lead to a large loss of life and
property. Rapid assessment of building damage with remote sensing image data can …
property. Rapid assessment of building damage with remote sensing image data can …
Building damage detection using object-based image analysis and ANFIS from high-resolution image (case study: BAM earthquake, Iran)
M Janalipour… - IEEE Journal of Selected …, 2015 - ieeexplore.ieee.org
Building damage detection after earthquake would help to rapid relief and response of
disaster. In this study, an efficient method was proposed for building damage detection in …
disaster. In this study, an efficient method was proposed for building damage detection in …
Integrated assessment of the environmental impact of an IDP camp in Sudan based on very high resolution multi-temporal satellite imagery
Population displacement due to armed conflicts, regional crises, or natural disasters often
leads to large-scale settlements that impact the local environment. The specific dynamics of …
leads to large-scale settlements that impact the local environment. The specific dynamics of …
Spatio-temporal reasoning for the classification of satellite image time series
Satellite image time series (SITS) analysis is an important domain with various applications
in land study. In the coming years, both high temporal and high spatial resolution SITS will …
in land study. In the coming years, both high temporal and high spatial resolution SITS will …