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Potential of texture-based classification in urban landscapes using multispectral aerial photos

Paidamwoyo Mhangara, John Odindi
2013 South African Journal of Science  
Results show that use of both object-based Haralick textural features and the spectral characteristics on multispectral aerial photographs can be used to generate reliable LULC classes.  ...  The emergence of multispectral aerial photographs, characterised by high spatial resolution and multispectral information, offers great potential for LULC classification.  ...  aerial imaging has seen an emergence of multispectral aerial photographs.  ... 
doi:10.1590/sajs.2013/1273 fatcat:v5n7kzlwhrfyxppbicjw2jmd3q

ENVIRONMENTAL CHANGES ANALYSIS IN BUCHAREST CITY USING CORONA, SPOT HRV AND IKONOS IMAGES

I. Noaje, I. G. Sion
2012 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
First a height correction is required followed by an affine transformation to the ground control points identified both in aerial photographs and IKONOS image.  ...  , aerial photographs -1994, complementary products (topographic and thematic maps).  ...  Ip/Id × scaling factor, where Ip is the DN of panchromatic image pixel and Id is R+G+B= sum norm.  ... 
doi:10.5194/isprsarchives-xxxix-b7-329-2012 fatcat:gxzrg54ykjh5hey2u6s5bm6uqi

NATIONWIDE HYBRID CHANGE DETECTION OF BUILDINGS

V. Hron, L. Halounova
2016 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
The main sources of information for HCD are cadastral information and bi-temporal vertical digital aerial photographs.  ...  These coarse results are subsequently classified through the object-based image analysis (OBIA) using spectral, textural and contextual features and GIS tools.  ...  A German study (Walter, 2004) presented a change detection approach based on an object-based classification of multispectral DAP with the use of GIS database ATKIS.  ... 
doi:10.5194/isprs-archives-xli-b7-497-2016 fatcat:4ionppjovjfoviskcitvbstqh4

NATIONWIDE HYBRID CHANGE DETECTION OF BUILDINGS

V. Hron, L. Halounova
2016 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
The main sources of information for HCD are cadastral information and bi-temporal vertical digital aerial photographs.  ...  These coarse results are subsequently classified through the object-based image analysis (OBIA) using spectral, textural and contextual features and GIS tools.  ...  A German study (Walter, 2004) presented a change detection approach based on an object-based classification of multispectral DAP with the use of GIS database ATKIS.  ... 
doi:10.5194/isprsarchives-xli-b7-497-2016 fatcat:ac6dn5c7jba7poq3qh7gcndkne

Analysis of Tornado Damage Tracks from the 3 May Tornado Outbreak Using Multispectral Satellite Imagery

May Yuan, Melany Dickens-Micozzi, Michael A. Magsig
2002 Weather and forecasting  
It is concluded that RS and GIS techniques on IRS LISS-3 imagery (an example of multispectral satellite imagery) can be useful in assessing tornado damage, particularly for extensive and intense events  ...  Remote sensing (RS) and geographic information systems (GIS) techniques are applied to high-resolution satellite imagery to determine characteristics of tornado damage from the 3 May 1999 tornado outbreak  ...  The authors thank the editor and three anonymous reviewers who provided constructive comments to an earlier draft of the paper.  ... 
doi:10.1175/1520-0434(2002)017<0382:aotdtf>2.0.co;2 fatcat:n5hewohusjah5kfqxhtrefneoe

Land use change in the high mountain belts of the central Apennines led to marked changes of the grassland mosaic

Luca Malatesta, Federico Maria Tardella, Marco Tavoloni, Nicola Postiglione, Karina Piermarteri, Andrea Catorci, Hannes Feilhauer
2019 Applied Vegetation Science  
Grasslands shifted from open communities to dense pastures, with reduction of scree and spread of tall grasses.  ...  Methods: We used two-step object-based supervised classification on Landsat 5 and 8 satellite images to analyze changes in landscape patterns and vegetation cover on formerly low intensity pastures, by  ...  We would like to thank Sheila Beatty for editing the English usage in the manuscript. Accepted Article This article is protected by copyright. All rights reserved.  ... 
doi:10.1111/avsc.12416 fatcat:4bbecnjbnnckdgwsjg4pksjfhy

Imaging and Classification Techniques for Seagrass Mapping and Monitoring: A Comprehensive Survey [article]

Md Moniruzzaman, S. M. Shamsul Islam, Paul Lavery, Mohammed Bennamoun, C. Peng Lam
2019 arXiv   pre-print
In this article, we have reviewed the recent approaches to seagrass detection and mapping to understand the gaps of the present approaches and determine further research scope to monitor the ocean health  ...  For addressing these gaps, future research should focus on developing cheaper image and video data collection techniques, deep learning based automatic annotation and classification, and real-time percentage-cover  ...  Some of the earliest and prominent approaches of using analogue aerial photographs to detect and map seagrass were performed by Carraway and Priddy (1983) [9] , and Ferguson et al. (1993) [26] .  ... 
arXiv:1902.11114v2 fatcat:cctkhtbc2bg73pfenrkbmxq3ay

ANCIENT MINING LANDSCAPES AND HABITATIVE SCENERIES IN THE URBAN AREA OF CENTOCELLE: GEOMATIC APPLICATIONS FOR THEIR IDENTIFICATION, MEASUREMENT, DOCUMENTATION AND MONITORING

A. Celauro, M. A. Marsella, P. J. V. D'Aranno, A. Maass, J. A. Palenzuela Baena, J. F. Guerrero Tello, I. Moriero
2019 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
A DTM of the toolmarks was then produced to understand the technological skills used for the exploitation of the local tuff and used as an indirect proof for chronological interpretation.  ...  Concerning the study of the subterranean quarrying system in the area, a 3D model of one gallery was produced, with the aim to understand the type of ancient exploitation.  ...  Sciotti is kindly acknowledged for the insight in the geology of the area. Ing. Dr. S. Scifoni and Prof. Q.  ... 
doi:10.5194/isprs-archives-xlii-2-w11-403-2019 fatcat:2d7wcxwpz5ez5nbufx3sw63xsu

Sociodemographic Characterization of Urban Areas Using Nighttime Imagery, Google Earth, Landsat, and "Social" Ground Truthing [chapter]

2018 Urban Remote Sensing  
We applied this approach to change the mean and variance of the shadowed areas by matching the mean and variance of an image with no shadows.  ...  The basic mathematical model of this algorithm is the photogrammetric collinearity equation, which requires a DTM and the interior and exterior orientation elements of an aerial image.  ... 
doi:10.1201/9781315166612-23 fatcat:rwvdjlh6creqhpcq67zpdnpg7q

Mapping Impervious Surfaces Using Object-oriented Classification in a Semiarid Urban Region

Zachary P. Sugg, Tobias Finke, David C. Goodrich, M. Susan Moran, Stephen R. Yool
2014 Photogrammetric Engineering and Remote Sensing  
In this study object-oriented classification of high-resolution imagery was used to develop a cost-effective, semi-automated approach for mapping impervious surfaces in Sierra Vista, Arizona for an individual  ...  Results from the neighborhood-scale analysis show that object-oriented classification of QuickBird imagery produced repeatable results with good accuracy.  ...  Acknowledgments The Upper San Pedro Partnership and the USDA-Agricultural Research Service supported this research, and they are gratefully acknowledged. Thanks are extended to Dr.  ... 
doi:10.14358/pers.80.4.343 fatcat:a7im7mpirbgtlkggclfrjqpqs4

Building Change Detection Using High Resolution Remotely Sensed Data and GIS

Natalia Sofina, Manfred Ehlers
2016 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Moreover, the object-oriented GIS technology makes it possible to concentrate on the investigation of specified objects, thereby reducing false alarms due to natural changes that occur around the investigated  ...  This study presents a GIS-based approach for the detection of destroyed buildings.  ...  The data set contains 319 vector objects extracted from a cadastral GIS database (Automated Land Registration Map (ALK), Osnabrueck, Germany) and a 649 × 417 pixel image area from an aerial photograph.  ... 
doi:10.1109/jstars.2016.2542074 fatcat:i6bgd7zgqzgslgjjyuibla5riu

Groundwater management and development by integrated remote sensing and geographic information systems: prospects and constraints

Madan K. Jha, Alivia Chowdhury, V. M. Chowdary, Stefan Peiffer
2006 Water resources management  
More and more RSand GIS-based groundwater studies are recommended to be carried out in conjunction with field investigations to effectively exploit the expanding potential of RS and GIS technologies, which  ...  The main intent of the present paper is to highlight RS and GIS technologies and to present a comprehensive review on their applications to groundwater hydrology.  ...  Acknowledgements The present work was financially supported by the Alexander von Humboldt (AvH) Foundation, Bonn, Germany in terms of research fellowship to the first author.  ... 
doi:10.1007/s11269-006-9024-4 fatcat:hh5oscwawjfi3jjubrbmjcd6wi

Monitoring Dryland Trees With Remote Sensing. Part A: Beyond CORONA—Historical HEXAGON Satellite Imagery as a New Data Source for Mapping Open-Canopy Woodlands on the Tree Level

Irene Marzolff, Mario Kirchhoff, Robin Stephan, Manuel Seeger, Ali Aït Hssaine, Johannes B. Ries
2022 Frontiers in Environmental Science  
of trees and their shadows in the historical panchromatic images.  ...  Our aim is to evaluate the potential of combining historical CORONA and HEXAGON with recent WorldView VHRS imagery for retrospective woodland change mapping on the tree level.  ...  We are also grateful to Abdellatif Hanna and Khalil Hamouch for their considerable help with our fieldwork.  ... 
doi:10.3389/fenvs.2022.896702 fatcat:jfw2ouszy5ht7cmnwm345ok7sy

A survey of image classification methods and techniques for improving classification performance

D. Lu, Q. Weng
2007 International Journal of Remote Sensing  
More research, however, is needed to identify and reduce uncertainties in the image-processing chain to improve classification accuracy. emergence of new classification algorithms and techniques in recent  ...  Integration of remote sensing, geographical information systems (GIS), and expert system emerges as a new research frontier.  ...  Acknowledgments The authors wish to acknowledge the support from the Center for the Study of Institutions, Population, and Environmental Change (CIPEC) at Indiana University, through funding from the National  ... 
doi:10.1080/01431160600746456 fatcat:xs7y7x4bpfhnfn5ahesllpchei

Geospatial Approaches to Monitoring the Spread of Invasive Species of Solidago spp

Štefan Koco, Anna Dubravská, Jozef Vilček, Daniela Gruľová
2021 Remote Sensing  
We can also say that due to the spectral proximity of the surrounding vegetation, the spectral resolution in four spectral bands is insufficient for the classification of multispectral records in the case  ...  Invasive plant population was investigated at two localities, Malý Šariš and Chminianska Nová Ves in Slovakia, as well as the mapping of the area by multispectral imaging to determine the spectral reflectance  ...  In addition to free SRS products, open source software solutions, such as R [34] , QGIS [35] or GRASS GIS [36] are on the rise.  ... 
doi:10.3390/rs13234787 fatcat:q6npilxgvjetjepu3sj6cm3u3i
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