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A Spectral Structural Approach for Building Extraction from Satellite Imageries
2018
International Journal of Advanced Remote Sensing and GIS
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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)
2021
Remote Sensing
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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
2005
EURASIP Journal on Advances in Signal Processing
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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
2020
Aeronautics and Aerospace Open Access Journal
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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]
2018
arXiv
pre-print
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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
2017
MATEC Web of Conferences
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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
2020
International Journal of Applied Earth Observation and Geoinformation
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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
2019
Remote Sensing
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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
PRELIMINARY RESULTS FROM THE PORTABLE IMAGERY QUALITY ASSESSMENT TEST FIELD (PIQuAT) OF UAV IMAGERY FOR IMAGERY RECONNAISSANCE PURPOSES
2015
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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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
2018
Forests
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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
2015
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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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
CHARACTERISING UPLAND SWAMPS USING OBJECT-BASED CLASSIFICATION METHODS AND HYPER-SPATIAL RESOLUTION IMAGERY DERIVED FROM AN UNMANNED AERIAL VEHICLE
2012
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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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
2022
Remote Sensing
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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
2003
International Journal of Remote Sensing
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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
2019
South African Journal of Geomatics
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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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