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CRITICAL ASSESSMENT OF OBJECT SEGMENTATION IN AERIAL IMAGE USING GEO-HAUSDORFF DISTANCE

H. Sun, Y. Ding, Y. Huang, G. Wang
2016 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
In light of the geo-spatial correspondence between the pixel locations of aerial image and the spatial coordinates of ground objects, there is an increasing need of super-pixel segmentation and high-accuracy  ...  Segmentation results of several state-of-the-art algorithms, including those of the commercial packages, are evaluated with a diverse set of aerial images.  ...  ACKNOWLEDGEMENTS The authors are grateful for the support of the demonstrative transportation research and development program using GF-2 highresolution aerial imagery, P.R.China ( NO: 07-Y30B10-9001-14  ... 
doi:10.5194/isprsarchives-xli-b4-187-2016 fatcat:o2jy2bbpufbcfmv5bnc2lm5x5q

CRITICAL ASSESSMENT OF OBJECT SEGMENTATION IN AERIAL IMAGE USING GEO-HAUSDORFF DISTANCE

H. Sun, Y. Ding, Y. Huang, G. Wang
2016 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
In light of the geo-spatial correspondence between the pixel locations of aerial image and the spatial coordinates of ground objects, there is an increasing need of super-pixel segmentation and high-accuracy  ...  Segmentation results of several state-of-the-art algorithms, including those of the commercial packages, are evaluated with a diverse set of aerial images.  ...  ACKNOWLEDGEMENTS The authors are grateful for the support of the demonstrative transportation research and development program using GF-2 highresolution aerial imagery, P.R.China ( NO: 07-Y30B10-9001-14  ... 
doi:10.5194/isprs-archives-xli-b4-187-2016 fatcat:6hptc5bfj5dwlouz7x3fcd4mku

A system for region search and exploration

Kaiyu Feng, Kaiqi Zhao, Yiding Liu, Gao Cong
2016 Proceedings of the VLDB Endowment  
With the increasing popularity of mobile devices and location based services, massive amount of geo-textual data (e.g., geo-tagged tweets) is being generated everyday.  ...  Compared with traditional spatial data, the textual dimension of geo-textual data greatly enriches the data.  ...  Acknowledgments This work is supported in part by a Tier-1 grant awarded by Ministry of Education Singapore (RG22/15).  ... 
doi:10.14778/3007263.3007306 fatcat:py4ujjdu4jftxb4djrrjjtl7x4

Spring: Integrating remote sensing and gis by object-oriented data modelling

Gilberto Câmara, Ricardo Cartaxo Modesto Souza, Ubirajara Moura Freitas, Juan Garrido
1996 Computers & graphics  
An infolayer represents, for a given geographical region, the values of a geo-field or the geographical location of a set of geo-objects.  ...  Spatial Data Base Management All the descriptive attributes of the geo-objects and geo-fields are stored on a data base management system.  ... 
doi:10.1016/0097-8493(96)00008-8 fatcat:zvty7qzg6va4ndkjrzjzmz3vuu

Location-Based Top-k Term Querying over Sliding Window [chapter]

Ying Xu, Lisi Chen, Bin Yao, Shuo Shang, Shunzhi Zhu, Kai Zheng, Fang Li
2017 Lecture Notes in Computer Science  
Specifically, given a query location and a set of geo-tagged messages within a sliding window, we study the problem of searching for the top-k terms by considering both the term frequency and the proximities  ...  We develop a novel and efficient mechanism to solve the problem, including a quad-tree based indexing structure, indexing update technique, and a best-first based searching algorithm.  ...  and term frequency for geo-textual data over a sliding window.  ... 
doi:10.1007/978-3-319-68783-4_21 fatcat:yqjiux3uevclbex7wkpgebwg2m

Partitioning strategies for spatio-textual similarity join

Jinfeng Rao, Jimmy Lin, Hanan Samet
2014 Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data - BigSpatial '14  
One approach is to start with a spatial data structure, traverse regions and apply a previous algorithm for identifying similar pairs of textual documents called All-Pairs.  ...  Given a collection of geo-tagged objects with associated textual descriptors, the spatio-textual similarity join (STJoin) problem is to identify all pairs of similar objects that are close in distance.  ...  Any opinions, findings, conclusions, or recommendations expressed are those of the authors and do not necessarily reflect the views of the sponsor.  ... 
doi:10.1145/2676536.2676542 dblp:conf/gis/RaoLS14 fatcat:ydn7ran4unc27euytvr234a5vi

An improved Density-Based Approach to Spatio–Textual Clustering on Social Media

Minh D. Nguyen, Won-Yong Shin
2019 IEEE Access  
Density-based spatial clustering of applications with noise (DBSCAN) is the most commonly used density-based clustering algorithm but may not be sufficient when the input data type is heterogeneous in  ...  When we aim to discover clusters of geo-tagged records relevant to a particular point of interest (POI) on social media, examining only one type of input data (e.g., the tweets relevant to a POI) may draw  ...  This paper has been significantly extended based on the prior work [41] .  ... 
doi:10.1109/access.2019.2896934 fatcat:impu6u57dvd6nip5u22yt4qzta

Query Processing of Geosocial Data in Location-Based Social Networks

Arianna D'Ulizia, Patrizia Grifoni, Fernando Ferri
2021 ISPRS International Journal of Geo-Information  
The increasing use of social media and the recent advances in geo-positioning technologies have produced a great amount of geosocial data, consisting of spatial, textual, and social information, to be  ...  In this paper, we focus on the issue of query processing by providing a systematic literature review of geosocial data representations, query processing methods, and evaluation approaches published over  ...  [79] for retrieving a set of data objects O that are not dominated by others, meaning that any other set of object O' is worse than O for all the attributes of the query.  ... 
doi:10.3390/ijgi11010019 fatcat:lw3mjaoj2vfytazrfuvuekyewa

Spatio-temporal top-k term search over sliding window

Lisi Chen, Shuo Shang, Bin Yao, Kai Zheng
2018 World wide web (Bussum)  
Specifically, given a query location and a set of geo-tagged messages within a sliding window, we study the problem of searching for the top-k terms by considering term frequency, spatial proximity, and  ...  We develop a novel and efficient mechanism to solve the problem, including a quad-tree based indexing structure, indexing update technique, and a best-first based searching algorithm.  ...  In particular, based on the LkTQ we define a novel query STkTQ for discovering bursty and trending terms over a stream of geo-textual objects.  ... 
doi:10.1007/s11280-018-0606-x fatcat:bqthhmo3hfaf3onnfysko2e2ja

Spatio-temporal clustering [chapter]

Slava Kisilevich, Florian Mansmann, Mirco Nanni, Salvatore Rinzivillo
2009 Data Mining and Knowledge Discovery Handbook  
Spatio-temporal clustering is a process of grouping objects based on their spatial and temporal similarity.  ...  that record position, time or/and environmental properties of an object or set of objects in real-time.  ...  The algorithm is based on finding important places where many location measurements are clustered together.  ... 
doi:10.1007/978-0-387-09823-4_44 fatcat:zkl4aa7bvrfxlhlyvbjviuevzq

Finding corresponding objects when integrating several geo-spatial datasets

Catriel Beeri, Yerach Doytsher, Yaron Kanza, Eliyahu Safra, Yehoshua Sagiv
2005 Proceedings of the 2005 international workshop on Geographic information systems - GIS '05  
When integrating geo-spatial datasets, a join algorithm is used for finding sets of corresponding objects (i.e., objects that represent the same real-world entity).  ...  Two approaches that use only locations of objects are presented and compared. In one approach, a join algorithm for two datasets is applied sequentially.  ...  Algorithms for discovering corresponding objects can be part of the solution to these problems. In this work, we have investigated location-based join of three geo-spatial datasets.  ... 
doi:10.1145/1097064.1097078 dblp:conf/gis/BeeriDKSS05 fatcat:tvzvx6rglvh2rnq4u5cala3mri

Improved Density-Based Spatio--Textual Clustering on Social Media [article]

Minh D. Nguyen, Won-Yong Shin
2018 arXiv   pre-print
When we aim to discover clusters of geo-tagged records relevant to a particular point-of-interest (POI) on social media, examining only one type of input data (e.g., the tweets relevant to a POI) may draw  ...  To overcome this problem, we introduce DBSTexC, a newly defined density-based clustering algorithm using spatio--textual information.  ...  Won-Yong Shin is the corresponding author.  ... 
arXiv:1806.05522v1 fatcat:dqgoimbt4jgjlcpbv73vvu26di

Hierarchical Image Geo-location on a World-Wide Scale [chapter]

Alexandru N. Vasile, Octavia Camps
2013 Lecture Notes in Computer Science  
In support of fine-scale geo-location validation, we also developed an algorithm to process 3D Ladar data using a novel 3D noise filtering technique that is shown to be a significant improvement over current  ...  Also, my former colleague, Karl Ni, was instrumental in getting the funding for the fine-scale geo-location data collects and also contributed to algorithm development.  ...  Based on offline tests of maximal correspondence track lengths, T Horizon is set to 40 consecutive frames for the aerial imagery, while for the ground imagery T Horizon is set to 20.  ... 
doi:10.1007/978-3-642-41939-3_26 fatcat:vaaoi46ribe7ppgyhfujyvi5ci

HOC-Tree: A Novel Index for efficient Spatio-temporal Range Search [article]

Jun Long, Lei Zhu, Chengyuan Zhang, Shuangqiao Lin, Zhan Yang, Xinpan Yuan
2018 arXiv   pre-print
With the rapid development of mobile computing and Web services, a huge amount of data with spatial and temporal information have been collected everyday by smart mobile terminals, in which an object is  ...  Based on HOC-Tree, we develop an efficient algorithm to solve the problem of spatio-temporal range search.  ...  Uber is a advanced mobile Internet platform for texi service based on geo-location information of texi drivers and riders.  ... 
arXiv:1805.04642v1 fatcat:mauurrtkwzdillfkpqnkso7f5u

Building a scaleable geo-spatial DBMS

Jignesh Patel, Curt Ellmann, Jim Kupsch, Shelly Guo, Johan Larson, David De Witt, Jeffrey Naughton, JieBing Yu, Navin Kabra, Kristin Tufte, Biswadeep Nag, Josef Burger (+3 others)
1997 Proceedings of the 1997 ACM SIGMOD international conference on Management of data - SIGMOD '97  
The effectiveness of these techniques is demonstrated using a variety of complex geo-spatial queries over a 120 GB global geo-spatial data set.  ...  This paper presents a number of new techniques for parallelizing geo-spatial database systems and discusses their implementation in the Paradise object-relational database system.  ...  Olsen at NASA Goddard for her assistance in helping us acquire the AVHRR data sets used in this benchmark.  ... 
doi:10.1145/253260.253342 dblp:conf/sigmod/PatelYKTNBHRLEKGDN97 fatcat:ftg2gdjh5jfdzb6t6nrqp7wzlm
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