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CRITICAL ASSESSMENT OF OBJECT SEGMENTATION IN AERIAL IMAGE USING GEO-HAUSDORFF DISTANCE
2016
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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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
2016
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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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
2016
Proceedings of the VLDB Endowment
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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
1996
Computers & graphics
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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]
2017
Lecture Notes in Computer Science
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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
2014
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data - BigSpatial '14
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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
2019
IEEE Access
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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
2021
ISPRS International Journal of Geo-Information
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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
2018
World wide web (Bussum)
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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]
2009
Data Mining and Knowledge Discovery Handbook
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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
2005
Proceedings of the 2005 international workshop on Geographic information systems - GIS '05
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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]
2018
arXiv
pre-print
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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]
2013
Lecture Notes in Computer Science
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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]
2018
arXiv
pre-print
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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
1997
Proceedings of the 1997 ACM SIGMOD international conference on Management of data - SIGMOD '97
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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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