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A Spectral Structural Approach for Building Extraction from Satellite Imageries

Minakshi Kumar, Pradeep Kumar Garg, Sushil Kumar Srivastav
2018 International Journal of Advanced Remote Sensing and GIS  
A novel image segmentation method for very high spatial resolution multispectral images using combined spectral and structural information is proposed in this paper.  ...  Image segmentation is a prerequisite for processing of very high spatial resolution imageries. Most image segmentation methods use spectral information of an image alone for generating image objects.  ...  Image segmentation is a key and prerequisite step for processing of very high-resolution imagery.  ... 
doi:10.23953/cloud.ijarsg.338 fatcat:vdmbfspeuratljuplzimwdcvva

Comparison of Different Analytical Strategies for Classifying Invasive Wetland Vegetation in Imagery from Unpiloted Aerial Systems (UAS)

Louis Will Jochems, Jodi Brandt, Andrew Monks, Megan Cattau, Nicholas Kolarik, Jason Tallant, Shane Lishawa
2021 Remote Sensing  
Overall, high-resolution maps generated from UAS classifications will enable early detection and control of invasive plants.  ...  We compared accuracies using (a) different spatial resolutions (11 cm pixels vs. 3 cm pixels), (b) two classification approaches (pixel- vs. object-based), and (c) including structural measurements (e.g  ...  O'Brien, and L. St. John for help sampling in the field. Lastly, thanks to the University of Michigan Biological Station for the summer research fellowships.  ... 
doi:10.3390/rs13234733 fatcat:csmeiluilzgixkecbxq3uk4tlm

Automated Building Extraction from High-Resolution Satellite Imagery in Urban Areas Using Structural, Contextual, and Spectral Information

Xiaoying Jin, Curt H. Davis
2005 EURASIP Journal on Advances in Signal Processing  
We demonstrate an integrated strategy for identifying buildings in 1-meter resolution satellite imagery of urban areas. Buildings are extracted using structural, contextual, and spectral information.  ...  Seed building rectangles are verified and grown on a finely segmented image. Next, bright buildings are extracted using spectral information.  ...  CONCLUSION An automated building-extraction strategy that uses structural, contextual, and spectral information is presented in this paper and applied to high-resolution satellite imagery.  ... 
doi:10.1155/asp.2005.2196 fatcat:5yjmrpy4nbg73jdpy2ivbsntl4

Low-cost remotely piloted aircraft system (RPAS) with multispectral sensor for mapping and classification of intertidal biogenic oyster reefs

Subhash Chand, Barbara Bollard, Lennard Gillman
2020 Aeronautics and Aerospace Open Access Journal  
Here we used a low-cost RPAS coupled with a multispectral sensor (MicaSense® RedEdge™) and object-based image analysis (OBIA) workflow to produce very high-resolution maps of biogenic oyster reefs in Waitemata  ...  Using a rule-based classification technique to extract target features, based on their spectral characteristics following segmentation, yielded an overall accuracy of 83.9% and a kappa coefficient of 69.8%  ...  Kavita Devi Prasad for her assistant during fieldwork and her continuous support during this project.  ... 
doi:10.15406/aaoaj.2020.04.00116 fatcat:72tdwnizpjhadohklkp54voo4u

Mapping Informal Settlements in Developing Countries with Multi-resolution, Multi-spectral Data [article]

Patrick Helber, Bradley Gram-Hansen, Indhu Varatharajan, Faiza Azam, Alejandro Coca-Castro, Veronika Kopackova, Piotr Bilinski
2018 arXiv   pre-print
One uses only low-resolution (LR), freely available, Sentinel-2 multispectral satellite imagery with noisy annotations, whilst the other is a deep learning approach that uses only costly very-high-resolution  ...  To our knowledge, we are the first to map informal settlements successfully with low-resolution satellite imagery. We extensively evaluate and compare the proposed methods.  ...  We gratefully acknowledge the support of Adrien Muller and Tom Jones of SA Catapult for their useful comments, providing very-highresolution imagery and ground truth annotations for Nairobi.  ... 
arXiv:1812.00812v1 fatcat:cm7if6srznd55dxuzelfiqrdpu

Mapping urban impervious surfaces from an airborne hyperspectral imagery using the object-oriented classification approach

Rahim Aguejdad, Aziz Serradj, Christiane Weber, A. Shanableh, M. Maalej, S. Barakat, M. Omar, S. Al-Toubat, R. Al-Ruzouq, K. Hamad
2017 MATEC Web of Conferences  
The method uses the multi-resolution segmentation and classification algorithms.  ...  The objective of this research is to explore the capabilities of the hyperspectral imagery in mapping the urban impervious objects and identifying the surface materials using an object-oriented approach  ...  The authors would like to thank the anonymous reviewer for his comments and suggestions that helped us to significantly improve this paper.  ... 
doi:10.1051/matecconf/201712009003 fatcat:timpm3p3rvemtlrtwuptskve7e

Tree species classification using UAS-based digital aerial photogrammetry point clouds and multispectral imageries in subtropical natural forests

Zhong Xu, Xin Shen, Lin Cao, Nicholas C. Coops, Tristan R.H. Goodbody, Tai Zhong, Weidong Zhao, Qinglei Sun, Sang Ba, Zhengnan Zhang, Xiangqian Wu
2020 International Journal of Applied Earth Observation and Geoinformation  
In this study, we acquired high spatial resolution multispectral and RGB imagery over a subtropical natural forest in southwest China using a fixed-wing UAV system.  ...  (F 1 -score = 78.6 %); forest types classification (coniferous and deciduous) had a higher accuracy than the classification of all eight tree species, and the combination of spectral, texture and structural  ...  Acknowledgments We acknowledge grants from the National Natural Science Foundation of China (grant number 31922055, 31770590) and the Priority Academic Program Development of Jiangsu Higher Education Institutions  ... 
doi:10.1016/j.jag.2020.102173 fatcat:gtaefg7d3zbhpagtclw3vywtfa

WorldView-2 Data for Hierarchical Object-Based Urban Land Cover Classification in Kigali: Integrating Rule-Based Approach with Urban Density and Greenness Indices

Mugiraneza, Nascetti, Ban
2019 Remote Sensing  
This study aims to evaluate the potential of WorldView-2 high-resolution multispectral and panchromatic imagery for detailed urban land cover classification in Kigali, Rwanda, a complex urban area characterized  ...  However, it is not straightforward to map detailed urban land cover and to detect urban deprived areas, such as informal settlements, in complex urban environments based merely on high-resolution spectral  ...  Acknowledgments: The SIDA UR-Sweden Programme, GIS Sub-Program and collaboration among KTH Royal Institute of Technology, Lund University, and University of Rwanda are acknowledged.  ... 
doi:10.3390/rs11182128 fatcat:rtfvzo65ungptle3qe7e32iosu


R. Dabrowski, A. Orych, A. Jenerowicz, P. Walczykowski
2015 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
The sensor used include a multispectral framing camera and a high-resolution RGB sensor. The flights were conducted from a number of altitudes ranging from 10 m to 200 m above the test field.  ...  The spectral resolution of the imagery was determined based on a number of test samples with known spectral reflectance curves.  ...  ACKNOWLEDGEMENTS The presented article is part of research work carried out in the "Innovative remote sensing system for the monitoring of pollutants in rivers, offshore waters and flooded areas" project  ... 
doi:10.5194/isprsarchives-xl-1-w4-111-2015 fatcat:7yay2zht6zc4heksnc5b5mniky

A Review: Individual Tree Species Classification Using Integrated Airborne LiDAR and Optical Imagery with a Focus on the Urban Environment

Kepu Wang, Tiejun Wang, Xuehua Liu
2018 Forests  
due to finer segmentation, shadowing effect reduction, and refinement of classification rules based on LiDAR.  ...  workflow extraction, and discussion and summarizing of the specific contribution of LiDAR.  ...  The authors would also like to thank Yifang Shi and Xi Zhu from ITC, University of Twente for their support. Finally, we kindly thank the anonymous reviewers who helped us improve this paper.  ... 
doi:10.3390/f10010001 fatcat:5mto37v5tndcdfekpkerpugivi

An object-oriented approach for agrivultural land classification using rapideye imagery

H. Sang, L. Zhai, J. Zhang, F. An
2015 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
With the improvement of remote sensing technology, the spatial, structural and texture information of land covers are present clearly in high resolution imagery, which enhances the ability of crop mapping  ...  RapidEye high resolution imagery acquired on May 29 and August 9th of 2012 was used in this study to evaluate the potential of red edge band in agricultural land cover/use mapping using an objected-oriented  ...  x h ) ( : ) ( max arg ) ( (3) Feature Selection The pixel based decision tree classification approach is not very suitable for land cover mapping using high resolution remote sensing imagery, especially  ... 
doi:10.5194/isprsarchives-xl-7-w4-145-2015 fatcat:jxaryvm3d5dp5ggtxoiopunkpq


A. M. Lechner, A. Fletcher, K. Johansen, P. Erskine
2012 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
imagery and a digital surface model (DSM), and iii) the application of object-based image analysis in eCognition using the multispectral data and DSM to map swamp extent.  ...  Subsidence, resulting from underground coal mining can alter the structure of overlying rock formations changing hydrological conditions and potentially effecting ecological communities found on the surface  ...  Determining forest species composition using high spectral resolution remote sensing data. Remote Sens. Environ. 65, 249-254.  ... 
doi:10.5194/isprsannals-i-4-101-2012 fatcat:fut3goxfafalnmwpar2ks6ubyy

Mapping of Urban Vegetation with High-Resolution Remote Sensing: A Review

Robbe Neyns, Frank Canters
2022 Remote Sensing  
The use of imagery with a high spatial and temporal resolution, enabling the retrieval of phenological information for mapping and monitoring vegetation at the species level, still proves to be limited  ...  A wide variety of high-resolution imagery has been used by researchers for both types of mapping.  ...  This indicates that very high-resolution imagery in combination with structural information seems required for mapping needleleaf trees at species level.  ... 
doi:10.3390/rs14041031 fatcat:axd33lzzljh2fgoggchujmts6y

Information extraction from very high resolution satellite imagery over Lukole refugee camp, Tanzania

S. Giada, T. De Groeve, D. Ehrlich, P. Soille
2003 International Journal of Remote Sensing  
These methods could be used for refugee camp information extraction in other geographical settings and on imagery with different spatial and spectral resolutions.  ...  Four information extraction methods have been tested and compared: supervised classification, unsupervised classification, multi-resolution segmentation and mathematical morphology analysis.  ...  Gallego (JRC) for helpful discussions in the early stage of the work and Mr B. Eckhardt (JRC) for the initial processing of the images.  ... 
doi:10.1080/0143116021000035021 fatcat:gcsbnimi5bgw3k4zjg4higdqou

Extraction of low cost houses from a high spatial resolution satellite imagery using Canny edge detection filter

Naledzani Mudau, Paidamoyo Mhangara
2019 South African Journal of Geomatics  
The objective of this study was therefore to test and demonstrate the effectiveness of high spatial resolution satellite imagery in validating the presence of government funded houses using an objectoriented  ...  The application of the multi-resolution segmentation and Canny edge detection filtering technique proved to be an effective means of mapping individual houses as shown by the high detection accuracy of  ...  results achieved using advanced building detection approaches that used DSMs and very high resolution imagery (Shaker, et al., 2011; Yastikli and Uzar, 2013; Benarchid, et al., 2013) .  ... 
doi:10.4314/sajg.v7i3.5 fatcat:atpdpoliknbsxacysoyig6p6e4
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