[HTML][HTML] Geographic object-based image analysis–towards a new paradigm

T Blaschke, GJ Hay, M Kelly, S Lang, P Hofmann… - ISPRS journal of …, 2014 - Elsevier
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 …

[HTML][HTML] Automated parameterisation for multi-scale image segmentation on multiple layers

L Drăguţ, O Csillik, C Eisank, D Tiede - ISPRS Journal of photogrammetry …, 2014 - Elsevier
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 …

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 …

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 …

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 …

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 …

Transferability of convolutional neural network models for identifying damaged buildings due to earthquake

W Yang, X Zhang, P Luo - Remote Sensing, 2021 - mdpi.com
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 …

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 …

Integrated assessment of the environmental impact of an IDP camp in Sudan based on very high resolution multi-temporal satellite imagery

M Hagenlocher, S Lang, D Tiede - Remote Sensing of Environment, 2012 - Elsevier
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 …

Spatio-temporal reasoning for the classification of satellite image time series

F Petitjean, C Kurtz, N Passat, P Gançarski - Pattern Recognition Letters, 2012 - Elsevier
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 …