Results 21 to 30 of about 3,546,488 (250)

The Improbability of Harris Interest Points

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2010
An elementary characterization of the map underlying Harris corners, also known as Harris interest points or key points, is provided. Two principal and basic assumptions made are: 1) Local image structure is captured in an uncommitted way, simply using weighted raw image values around every image location to describe the local image information, and 2)
Marco Loog, François Lauze
openaire   +5 more sources

Towards a Standard-Based Domain-Specific Platform to Describe Points of Interest

open access: yesApplied Computer Systems, 2015
With the proliferation of mobile and distributed systems capable of providing its geoposition and even the geoposition of any other element, commonly called point of interest, developers have created a multitude of new software applications.
García-Díaz Vicente   +4 more
doaj   +1 more source

More Urban Elderly Care Facilities Should Be Placed in Densely Populated Areas for an Aging Wuhan of China

open access: yesLand, 2023
Global aging is getting worse, especially in China, a country with a large population. It is urgently needed to plan the site of new urban elderly care facilities for an aging society.
Zhenwei Wang   +5 more
doaj   +1 more source

Contextualized Point-of-Interest Recommendation [PDF]

open access: yesProceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Point-of-interest (POI) recommendation has become an increasingly important sub-field of recommendation system research. Previous methods employ various assumptions to exploit the contextual information for improving the recommendation accuracy. The common property among them is that similar users are more likely to visit similar POIs and similar POIs ...
Peng Han 0005   +6 more
openaire   +1 more source

Urban Population Distribution Mapping with Multisource Geospatial Data Based on Zonal Strategy

open access: yesISPRS International Journal of Geo-Information, 2020
Mapping population distribution at fine resolutions with high accuracy is crucial to urban planning and management. This paper takes Guangzhou city as the study area, illustrates the gridded population distribution map by using machine learning methods ...
Guanwei Zhao, Muzhuang Yang
doaj   +1 more source

Spatiotemporal Patterns Evolution of Residential Areas and Transportation Facilities Based on Multi-Source Data: A Case Study of Xi’an, China

open access: yesISPRS International Journal of Geo-Information, 2023
The spatiotemporal patterns of residential and supporting service facilities are critical to effective urban planning. However, with growing urban sprawl and congestion, the spatial distribution patterns and evolutionary characteristics of these areas ...
Xinyi Lai, Chao Gao
doaj   +1 more source

Multimodal urban areas of interest generation via remote sensing imagery and geographical prior

open access: yesInternational Journal of Applied Earth Observations and Geoinformation
Urban area-of-interest (AOI) refers to an integrated urban functional zone with defined polygonal boundaries. The rapid development of urban commerce has led to increasing demands for highly accurate and timely AOI data.
Chuanji Shi   +4 more
doaj   +1 more source

The Random Forest-Based Method of Fine-Resolution Population Spatialization by Using the International Space Station Nighttime Photography and Social Sensing Data

open access: yesRemote Sensing, 2018
Despite the importance of high-resolution population distribution in urban planning, disaster prevention and response, region economic development, and improvement of urban habitant environment, traditional urban investigations mainly focused on large ...
Kangning Li, Yunhao Chen, Ying Li
doaj   +1 more source

Identifying Urban Residents’ Activity Space at Multiple Geographic Scales Using Mobile Phone Data

open access: yesISPRS International Journal of Geo-Information, 2020
Residents’ activity space reflects multiple aspects of human life related to space, time, and type of activity. How to measure the activity space at multiple geographic scales remains a problem to be solved.
Lunsheng Gong   +4 more
doaj   +1 more source

UPTRec: Fusing User Graph, Point-of-Interest Transitions, and Temporal Embeddings for Next Point-of-Interest Recommendations

open access: yesISPRS International Journal of Geo-Information
Next Point-of-Interest (POI) recommendations are pivotal for enhancing location-based services; however, accurate prediction remains challenging due to the complex interplay between dynamic user preferences and spatiotemporal constraints.
Junxia Li   +3 more
doaj   +1 more source

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