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Simulation-Based Building Change Detection From Multiangle SAR Images and Digital Surface Models

Junyi Tao, Stefan Auer
2016 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Finally, the geometry of the layover areas is adapted based on the geometric projection described in section III-B1, followed by a comparison of the position of layover fill.  ...  In comparison, the change ratio of layover areas shows less variation. Fusing the change ratios to the mean change ratio stabilizes the analysis.  ... 
doi:10.1109/jstars.2015.2502762 fatcat:e5ragsxyizcm5k2ha5fokbkfxe


Hikmat H Ali, Imad A Al-Hashimi, Fua'ad Al-Samman
2018 Archnet-IJAR  
Similarly, as to walkability index, traditional layout has higher rates of intersections and connected nodes and least angular changes with higher rates of integrations and choices in terms of Space Syntax  ...  The findings show that traditional form with its higher building density and compactness is a good model with regards to sustainable principles.  ...  Analytical results of the comparison between the old traditional urban area of Sana'a with modern urban form and design in Haddah and Sawan reveal important and significant differences on the light of  ... 
doi:10.26687/archnet-ijar.v12i2.1391 fatcat:mcgy7b2dkfgupfaj3tmypdzfle

LASDU: A Large-Scale Aerial LiDAR Dataset for Semantic Labeling in Dense Urban Areas

Zhen Ye, Yusheng Xu, Rong Huang, Xiaohua Tong, Xin Li, Xiangfeng Liu, Kuifeng Luan, Ludwig Hoegner, Uwe Stilla
2020 ISPRS International Journal of Geo-Information  
In this work, we present a large-scale aerial LiDAR point cloud dataset acquired in a highly-dense and complex urban area for the evaluation of semantic labeling methods.  ...  This dataset covers an urban area with highly-dense buildings of approximately 1 km2 and includes more than 3 million points with five classes of objects labeled.  ...  Acknowledgments: The authors would like to thank the HiWATER project for providing the original ALS point clouds. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/ijgi9070450 fatcat:drso45lbsbbepi3njen46uuqe4

TUM-MLS-2016: An Annotated Mobile LiDAR Dataset of the TUM City Campus for Semantic Point Cloud Interpretation in Urban Areas

Jingwei Zhu, Joachim Gehrung, Rong Huang, Björn Borgmann, Zhenghao Sun, Ludwig Hoegner, Marcus Hebel, Yusheng Xu, Uwe Stilla
2020 Remote Sensing  
In the past decade, a vast amount of strategies, methods, and algorithms have been developed to explore the semantic interpretation of 3D point clouds for extracting desirable information.  ...  These datasets cover an urban area of approximately 1 km long roadways and include more than 40 million annotated points with eight classes of objects labeled.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs12111875 fatcat:o2ngulbppfd65iaegkqzkk2mue

3D change detection – Approaches and applications

Rongjun Qin, Jiaojiao Tian, Peter Reinartz
2016 ISPRS journal of photogrammetry and remote sensing (Print)  
We first describe the general considerations of 3D CD problems in different processing stages and identify CD types based on the information used, being the geometric comparison and geometric-spectral  ...  Change detection (CD) or time-series data analysis in 3D has gained great attention due to its capability of providing volumetric dynamics to facilitate more applications and provide more accurate results  ...  "Building detection + Change detection" is a popular strategy to detect changes of buildings.  ... 
doi:10.1016/j.isprsjprs.2016.09.013 fatcat:wf4fuc3mqvhsbo2v3drzdpyrcu

Towards Building and Civil Infrastructure Reconstruction from Point Clouds: A Review on Data and Key Techniques

Yusheng Xu, Uwe Stilla
2021 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
This article therefore intends to provide a thorough review of the state-of-the-art acquisition and processing techniques for building reconstruction using point clouds.  ...  The reconstruction of 3-D objects in a scene of man-made infrastructure and buildings is one of the core tasks using point clouds, which involves both the 3-D data acquisition and processing.  ...  INTRODUCTION I N RECENT decades, the demands for effective and efficient monitoring of the dynamic change of buildings and construction installations in urban areas have continually increased in the fields  ... 
doi:10.1109/jstars.2021.3060568 fatcat:zjpzyfmibjeghcf35csjnwuseu

Land Cover Change Detection in Urban Lake Areas Using Multi-Temporary Very High Spatial Resolution Aerial Images

2018 Water  
comparison method was used to detect changes.  ...  The dominant changes that took place in the study area were lake and vegetation shrinking, replaced by high density buildings and roads.  ...  The authors would like to thank Lv Zhiyong from the computer school of Xi'An University of Technology for providing us with valuable suggestions on the change detection approaches.  ... 
doi:10.3390/w10020001 fatcat:kntx3tpnw5cklenlyudsrnmurq

Integrating external knowledge into SVM classification – Fusing hyperspectral and laserscanning data by kernel composition

A. C. Braun, U. Weidner, B. Jutzi, S. Hinz
2012 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
In Fig.5 , green segments refer to buildings where both approaches assigned the same class, while red segments mark buildings for which the approaches disagree.  ...  to be separated-instead of using geometric information at each step.  ... 
doi:10.5194/isprsarchives-xxxviii-4-w19-57-2011 fatcat:my6uod6dvfcurapjeiet7uvvii

A building extraction approach for Airborne Laser Scanner data utilizing the Object Based Image Analysis paradigm

Ivan Tomljenovic, Dirk Tiede, Thomas Blaschke
2016 International Journal of Applied Earth Observation and Geoinformation  
With the use of class modelling methods, we generated the final target class of objects representing buildings. The approach was developed for a test area in Biberach an der Riß (Germany).  ...  In our work, we combined OBIA with ALS point cloud data in order to identify and extract buildings as 2D polygons representing roof outlines in a top down mapping approach.  ...  The authors would like to acknowledge the provision of Biberach an der Riß ALS data by Trimble Geospatial and the provision of the Downtown Toronto data set by Optech Inc., First Base Solutions Inc., GeoICT  ... 
doi:10.1016/j.jag.2016.06.007 fatcat:ywlofuulivechj22yrhtf3w5ua

Object-Based Distinction between Building Shadow and Water in High-Resolution Imagery Using Fuzzy-Rule Classification and Artificial Bee Colony Optimization

Yuanrong He, Xinxin Zhang, Lizhong Hua
2016 Journal of Sensors  
During the segmentation, a series of statistical factors, such as spectrum, ratio, and sharp features, are calculated to make up for defects in the high-resolution imagery.  ...  Due to the high similarity of the spectra of urban water and building shadows, high-resolution satellite imagery often confuses and wrongly classifies these features.  ...  The study was in cooperation with Universities Project of Fujian Bureau of Surveying, Mapping and Geoinformation (no. 2015JX04).  ... 
doi:10.1155/2016/2385039 fatcat:xoed7swanrbo7bebikyqkwdnla

Integrating Aerial LiDAR and Very-High-Resolution Images for Urban Functional Zone Mapping

Siji Sanlang, Shisong Cao, Mingyi Du, You Mo, Qiang Chen, Wen He
2021 Remote Sensing  
This study presents a new approach for Urban Functional Zone (UFZ) mapping by integrating two-dimensional (2D) Urban Structure Parameters (USPs), three-dimensional (3D) USPs, and the spatial patterns of  ...  In addition, the multi-classifiers (MLCs), i.e., Random Forest, K-Nearest Neighbor, and Linear Discriminant Analysis classifiers were used to perform the land cover mapping by using the optimized features  ...  The geometrical features were used to reveal geometrical characteristics of objects, i.e., area, border length, length/width, compactness, asymmetry, border index, density, elliptic fit, main direction  ... 
doi:10.3390/rs13132573 doaj:06d35305d0f34c0090e99ad7e58d11c6 fatcat:dq2ncpjfx5d7xg754lme3vz2t4

A Scientific Approach to the Densification Debate in Bergen Centre in Norway

Remco Elric de Koning, Hans Jacob Roald, Akkelies van Nes
2020 Sustainability  
This article demonstrates how the Space Syntax method can be applied to urban densification strategies in urban planning and policy making.  ...  research-based input to the densification strategy debate in Bergen.  ...  Acknowledgments: We would like to acknowledge Trygve Andresen, of Asplan Viak, for his contribution of thematic maps for the project and report Strategi for fortetting innenfor Bergens sentrale deler and  ... 
doi:10.3390/su12219178 fatcat:ec72aks2w5cnfhbsiymlgr7vyu

Full Hierarchic Versus Non-Hierarchic Classification Approaches for Mapping Sealed Surfaces at the Rural-Urban Fringe Using High-Resolution Satellite Data

Tim De Roeck, Tim Van de Voorde, Frank Canters
2009 Sensors  
Since 2008 more than half of the world population is living in cities and urban sprawl is continuing.  ...  For the decision tree approach a one-against-all hierarchic classification strategy does not lead to an improvement of classification accuracy compared to the standard all-against-all approach.  ...  Acknowledgements This research is funded by a Ph.D. grant of the Institute for the Promotion of Innovation through Science and Technology in Flanders (IWT-Vlaanderen).  ... 
doi:10.3390/s90100022 pmid:22389586 pmcid:PMC3280732 fatcat:ldfexb5ycnfydbou6e6w7wdwfy

Improving Urban Change Detection From Multitemporal SAR Images Using PCA-NLM

Osama Yousif, Yifang Ban
2013 IEEE Transactions on Geoscience and Remote Sensing  
for reduction of the speckle effect in change detection, (3) to investigate spatio-contextual change detection, (4) to investigate object-based unsupervised change detection, and (5) to investigate a  ...  The detection of urban changes using SAR images is complicated due to the complex mixture of the urban environment and the special characteristics of SAR images, for example, the existence of speckle.  ...  The Markov random field (MRF) change detection algorithm showed limited capacity to simultaneously maintain fine geometric detail in urban areas and combat the effect of speckle.  ... 
doi:10.1109/tgrs.2013.2245900 fatcat:2eoewpshe5ahxn5gwegyekraee

The Change Detection of Building Models Using Epochs of Terrestrial Point Clouds

Zhizhong Kang, Zhao Lu
2011 2011 International Workshop on Multi-Platform/Multi-Sensor Remote Sensing and Mapping  
Since the accuracy of terrestrial laser scanning is normally in the order of millimeter, the accuracy of the computed planar surface area is expected to reach the order of centimeter taking the error accumulation  ...  The presented method only focuses on the disappearing change (for instance erosion, damage, etc.) of rebuilt building models and quantification of the changed regions, which can be helpful to the works  ...  to a geometric approximation of the whole building model.  ... 
doi:10.1109/m2rsm.2011.5697381 fatcat:zttz2c6chzdxnmihhzl2yybwsq
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