Results 31 to 40 of about 612,106 (278)

Conceptualising quality early childhood education: Learning from young children in Brazil and South Africa through creative and play‐based methods

British Educational Research Journal, EarlyView., 2023
Abstract Early childhood has increasingly been acknowledged as a vital time for all children. Inclusive and quality education is part of the United Nations Sustainable Development Goals, with the further specification that all children have access to quality pre‐primary education.
Laura H. V. Wright, Irene Rizzini, Malibongwe Gwele, Lynn McNair, Cristina Laclette Porto, Marsha Orgill, E. Kay M. Tisdall, Malcolm Bush, Linda Biersteker   +8 more
wiley   +1 more source

Detection of Trees on Street-View Images Using a Convolutional Neural Network

International Journal of Neural Systems, 2021
Real-time detection of possible deforestation of urban landscapes is an essential task for many urban forest monitoring services. Computational methods emerge as a rapid and efficient solution to evaluate bird’s-eye-view images taken by satellites, drones, or even street-view photos captured at the ground level of the urban scenery.
Danilo Samuel Jodas, Takashi Yojo, Sergio Brazolin, Giuliana Del Nero Velasco, João Paulo Papa   +4 more
openaire   +4 more sources

Mapping the Essential Urban Land Use in Changchun by Applying Random Forest and Multi-Source Geospatial Data

Remote Sensing, 2020
Understanding urban spatial pattern of land use is of great significance to urban land management and resource allocation. Urban space has strong heterogeneity, and thus there were many researches focusing on the identification of urban land use.
Shouzhi Chang, Zongming Wang, Dehua Mao, Kehan Guan, Mingming Jia, Chaoqun Chen   +5 more
doaj   +1 more source

Classification of Urban Scenes from Geo-referenced Images in Urban Street-View Context [PDF]

, 2012
International audienceThis paper addresses the challenging problem of scene classification in street-view georeferenced images of urban environments. More precisely, the goal of this task is semantic image classification, consisting in predicting in a ...
Cord, Matthieu, Iovan, Corina, Picard, David, Thome, Nicolas   +3 more
core   +2 more sources

Cross-View Image Matching for Geo-localization in Urban Environments

, 2017
In this paper, we address the problem of cross-view image geo-localization. Specifically, we aim to estimate the GPS location of a query street view image by finding the matching images in a reference database of geo-tagged bird's eye view images, or ...
Chen, Chen, Shah, Mubarak, Tian, Yicong
core   +1 more source

The Fine Design Strategy of Urban Streets Using Deep Learning With the Assistance of the Internet of Things

IEEE Access, 2023
In order to achieve the fine design of urban streets in the Internet of Things (IoT) environment, this work proposes a semantic segmentation network based on improved DeepLabV3+ to perform semantic segmentation of street scenes.
Lei Song
doaj   +1 more source

DeepNav: Learning to Navigate Large Cities

, 2017
We present DeepNav, a Convolutional Neural Network (CNN) based algorithm for navigating large cities using locally visible street-view images. The DeepNav agent learns to reach its destination quickly by making the correct navigation decisions at ...
Brahmbhatt, Samarth, Hays, James
core   +1 more source

The Scale Effect of Street View Images and Urban Vitality Is Consistent with a Gaussian Function Distribution

Land
Street view images are often used to assess the impact of the built environment on urban vitality from an eye-level perspective. However, the influence of analyzing scale on the accuracy of assessment results is often ignored.
Jie Yin, Ran Chen, Ruixiang Zhang, Xiang Li, Yuan Fang   +4 more
doaj   +1 more source

A Synergistic Approach for Recovering Occlusion-Free Textured 3D Maps of Urban Facades from Heterogeneous Cartographic Data [PDF]

, 2013
In this paper we present a practical approach for generating an occlusion-free textured 3D map of urban facades by the synergistic use of terrestrial images, 3D point clouds and area-based information.
Dornaika, Fadi, Hammoudi, Karim, McDonald, John, Paparoditis, Nicolas, Soheilian, Bahman, Vallet, Bruno   +5 more
core   +3 more sources

Seeing through Satellite Images at Street Views

IEEE Transactions on Pattern Analysis and Machine Intelligence
This paper studies the task of SatStreet-view synthesis, which aims to render photorealistic street-view panorama images and videos given any satellite image and specified camera positions or trajectories. We formulate to learn neural radiance field from paired images captured from satellite and street viewpoints, which comes to be a challenging ...
Ming Qian, Bin Tan, Qiuyu Wang, Xianwei Zheng, Hanjiang Xiong, Gui-Song Xia, Yujun Shen, Nan Xue   +7 more
openaire   +3 more sources