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Toward Seamless Multiview Scene Analysis From Satellite to Street Level

Sebastien Lefevre, Devis Tuia, Jan Dirk Wegner, Timothee Produit, Ahmed Samy Nassar
2017 Proceedings of the IEEE  
Numerous works exist that merge information from remote sensing and images acquired from the ground for tasks like land cover mapping, object detection, or scene understanding.  ...  We review recent works that attempt to combine images taken from the ground and overhead views for purposes like scene registration, reconstruction, or classification.  ...  In [46] , authors use a One-Class SVM [47] to predict the suitability of a spatial location for beautiful pictures taking: the model relates a set of geographical features (extracted from a DEM or open  ... 
doi:10.1109/jproc.2017.2684300 fatcat:r3hyfdtjzzaknl25cpygxrcgq4

Development of Mobile Mapping System for 3D Road Asset Inventory

Nivedita Sairam, Sudhagar Nagarajan, Scott Ornitz
2016 Sensors  
Data collection is the most time-consuming task in the development of an asset management system.  ...  Then the scope of such extraction techniques along with a sample GIS (Geographic Information System) database structure for unified 3D asset inventory are discussed.  ...  The authors also would like to thank Joseph Marzi, P.E and Brett Drouin of Florida Department of Transportation for the help with the platform building and field data collection.  ... 
doi:10.3390/s16030367 pmid:26985897 pmcid:PMC4813942 fatcat:jjm62uhrdzgglanpijq5figv7q

Remote sensing scene classification using an attention consistent network

Sushama Rani Dutta, Habeebulla Mir Hashmat Ullah, Mohammed Abdul Quader, Mohammed Sayeed Akhtar
2022 International Journal of Health Sciences  
A big amount of Convolutional neural classification models for RS images have been proposed by the authors due to the massive behaviour of CNNs in features extracted.  ...  for ACNet are the picture groups achieved through spatial rotation as a result of the network's the double framework.  ...  A intermediates extraction of features algorithm achieves the global information from the source picture sets (created by spatially rotations).  ... 
doi:10.53730/ijhs.v6ns8.9810 fatcat:rk33jmtf5nbr7fmcjngdjxuqjy

Tourists' Landscape Preferences of Luoxiao Mountain National Forest Trail Based on Deep Learning

Ying Ding, Zhiyong Bai, Hongling Xia, Hui Tang, Chia-Huei Wu
2022 Wireless Communications and Mobile Computing  
The preferences for various landscape types exhibited an obvious festival effect, which was affected by the peculiarities of the landscape in a particular season.  ...  A combination of deep learning and traditional manual classification was used to divide the collected 43234 landscape photos into 9 categories.  ...  Acknowledgments This work was supported by the Science and Education Joint Project of Hunan Natural Science Foundation: Research on public landscape preference of nature reserve in Hunan Province based  ... 
doi:10.1155/2022/4662818 fatcat:y7bo22jcknegnbluwootu4lup4

Timescape-Based Panoramic View for Historic Landmarks

H. Ali, A. Whitehead
2019 Zenodo  
Utilization of this panorama requires a collection of hundreds of thousands of landmark images from the Internet comprised of historic images and modern images of the digital age.  ...  that span a long period, from the 1800's up to the present.  ...  Fig. 3 summarizes the feature extraction process [12] . Neural Networks A multi-layer feed-forward neural system has been utilized in preparing an informational collection on info designs.  ... 
doi:10.5281/zenodo.3607854 fatcat:t3ffxug2n5ecphkfkxkxtmhvgm

A Coordinated Yield Suggestion System for Effective Cultivation

Nirmala C R
2020 International Journal for Research in Applied Science and Engineering Technology  
So here our concern is effective utilization of agriculture land and train the farmers with the help of agriculture and forest department guidance and support.  ...  So the meliorate of economic status of rural area is important factor for development of our country.  ...  From an image, primitive features can be extracted followed by different parts of the object which leads to identification of the object.  ... 
doi:10.22214/ijraset.2020.31288 fatcat:xdkfh54cfveudn263og5k3mk6y

An innovative three-dimensional user interface for exploring music collections enriched

Peter Knees, Markus Schedl, Tim Pohle, Gerhard Widmer
2006 Proceedings of the 14th annual ACM international conference on Multimedia - MULTIMEDIA '06  
Given an arbitrary collection of digital music files, our system creates a virtual landscape which allows the user to freely navigate in this collection.  ...  This is accomplished by automatically extracting features from the audio signal and training a Self-Organizing Map (SOM) on them to form clusters of similar sounding pieces of music.  ...  From the chosen audio files, the middle 30 seconds are extracted and analyzed. These 30 seconds also serve as looped audio thumbnail in the landscape. The idea is to extract the audio features (i.e.  ... 
doi:10.1145/1180639.1180652 dblp:conf/mm/KneesSPW06 fatcat:izvnlfg4erbotcsdyav5oalm7u

Deep Learning Image Feature Recognition Algorithm for Judgment on the Rationality of Landscape Planning and Design

Bin Hu
2021 Complexity  
The deficiencies in landscape feature extraction are further addressed based on the new model.  ...  Innovative methods for zoning and segmentation training of landscape pattern features are proposed, which makes model training faster and generates more creative landscape patterns.  ...  20 dimensions, and the common features of such styles in the landscape, a small number of vertical opening windows residential landscape.  ... 
doi:10.1155/2021/9921095 doaj:647d3f6bc158476c861f6baf96b35156 fatcat:t3bfath2erclxlloijfkns7fby

Social Media as a Medium to Promote Local Perception Expression in China's World Heritage Sites

Xiaoxu Liang, Naisi Hua, John Martin, Elena Dellapiana, Cristina Coscia, Yu Zhang
2022 Land  
Since the beginning of 2020, the COVID-19 pandemic became a catalyst for the transformation of participatory tools.  ...  The data obtained were analysed from three perspectives: the users' information, the content of texts, and the attached images.  ...  We also thank reviewers for their insights. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/land11060841 fatcat:etfkpuglkrd47dbxgqcenbnog4

GIS and Big Data Visualization [chapter]

Junghoon Ki
2018 Geographic Information Systems [Working Title]  
Big data analysis and its visualization tools boosters the capacity of GIS, especially in graphics and visual demonstration.  ...  In this chapter, I describe major traits of big data and its spatial analysis with visualization. And then I will find a linkage between big data and GIS.  ...  Conflict of interest No potential conflict of interest was reported by the author.  ... 
doi:10.5772/intechopen.82052 fatcat:22drwsuf65ewbftvrr4ljbjw2i

Quantitative Evaluation on Street Vitality: A Case Study of Zhoujiadu Community in Shanghai

Mei Liu, Ying Jiang, Junliang He
2021 Sustainability  
The application of open recourse data combined with empirical research forms the foundation of a quantitative exploration on the street vitality of Zhoujiadu Community in Shanghai.  ...  Results from this work proved that the constituent factors of social function density, mixing degree of social functions, distance from the nearest subway station and green view have strong impacts on  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/su13063027 fatcat:4k5em364svhqtowtbirsyml6xi

Determining Subarctic Peatland Vegetation Using an Unmanned Aerial System (UAS)

Michael Palace, Christina Herrick, Jessica DelGreco, Daniel Finnell, Anthony Garnello, Carmody McCalley, Kellen McArthur, Franklin Sullivan, Ruth Varner
2018 Remote Sensing  
We found that within our area of interest, cover classes most indicative of underlying permafrost (hummock and tall shrub) comprised 43.9% percent of the landscape.  ...  In subarctic peatlands, permafrost collapse has led to shifts in vegetation species on landscape scales with high spatial heterogeneity.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs10091498 fatcat:kcljczggv5cltk6q35uxqdi3p4

Analyzing spatial and temporal phenomena using geographical information systems

Lucinda B. Johnson
1990 Landscape Ecology  
In the fields of natural resources management and ecology the GIS has been used most frequently for 1) derivation of area or length measures, 2) spatial intersection functions such as file merging, analysis  ...  GISs are a set of computer hardware and software for analyzing and displaying spatially referenced features (i.e. , points, lines, polygons) with non-geographic attributes (i.e., species, age).  ...  This is Contribution No. 47 of the Center for Water and the Environment, Natural Resources Research Institute, and Contribution No. 3 of the NRRI Geographic Information System Laboratory.  ... 
doi:10.1007/bf02573949 fatcat:biy55qeqmfbb3j5ujfbvtb2h5a

The Use of Remote Sensing to Quantitatively Assess the Visual Effect of Urban Landscape—A Case Study of Zhengzhou, China

Chaofan Xi, Yulong Guo, Ruizhen He, Bo Mu, Peixuan Zhang, Yuan Li
2022 Remote Sensing  
First, utilizing the Elo rating system and in situ sampled panoramic pictures, the quantitative assessment of the city landscape visual effect was carried out.  ...  Then, the landscape visual effect estimation model was built and applied to Landsat remote sensing image to generate the spatial distribution of landscape visual effect in Zhengzhou city, 2017.  ...  The estimation results can accurately determine visual effect, which is suitable for the rapid analysis of the urban landscape visual effect on a large spatial scale.  ... 
doi:10.3390/rs14010203 doaj:85d64ff4e86042b7b7205b950d5c5dde fatcat:4ujzgurd2fb3he2x34xbwgfri4

Improving the performance of content-based image retrieval systems

Mary Jane Willshire, Thomas Allen, Zia-ur Rahman, Robert A. Schowengerdt, Stephen E. Reichenbach
2003 Visual Information Processing XII  
On the other hand, CBIR relies on the characterization of primitive features such as color, shape, and texture that can be automatically extracted from images themselves.  ...  By expanding the interpretation of color in images to include a gradient-based description, a new indexing method for content-based retrieval of images from an image database is developed for the reduction  ...  on extracting features from a block; 2) Sub-blocking has the potential for decreasing the storage and computational complexity of an image database.  ... 
doi:10.1117/12.484834 dblp:conf/spieVIP/WillshireA03 fatcat:mofonaaavre3nc44c6wfkjqzka
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