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ISPRS International Journal of Geo-Information, Volume 11, Issue 10

October 2022 - 38 articles

Cover Story: Deep learning has been investigated for the pattern recognition of complex road junctions to provide support for many applications. The existing methods usually generate raster images from vector junctions with a predefined sampling area coverage, which makes it difficult to ensure the integrity and clarity of junctions of different sizes. This study proposes a stacking ensemble learning method to address this issue. The ensemble learning strategy aims to obtain a finer result by combining the outputs of two or more CNN-based base-classifiers, which are constructed to classify the junction patterns by collecting images with different sampling area coverages. This method improved the classification accuracy for junction patterns compared to existing CNN-based classifiers that were trained using raster images of junctions with a fixed area coverage. View this paper
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Articles (38)

  • Article
  • Open Access
9 Citations
2,806 Views
15 Pages

Recognizing the patterns of road junctions in a road network plays a crucial role in various applications. Owing to the diversity and complexity of morphologies of road junctions, traditional methods that rely heavily on manual settings of features a...

  • Article
  • Open Access
22 Citations
3,950 Views
27 Pages

Nighttime lights remote sensing has a significant advantage in exploring the economic development of cities. Based on nighttime lighting data, this study employed spatial direction analysis, exploratory spatial data analysis, and social network analy...

  • Article
  • Open Access
11 Citations
3,252 Views
18 Pages

Urban built-up areas are not only the spatial carriers of urban activities but also the direct embodiment of urban expansion. Therefore, it is of great practical significance to accurately extract urban built-up areas to judge the process of urbaniza...

  • Article
  • Open Access
6 Citations
3,122 Views
19 Pages

Inner Mongolia (IM) is one of the five major pastoral areas in China, and animal husbandry is its traditional industry. The population of livestock is an important factor affecting the sustainable development of livestock and grassland. Due to the sp...

  • Article
  • Open Access
3 Citations
2,607 Views
20 Pages

As the most basic physical geographic elements, basin terrain and river networks have high spatial complexity and are closely related. However, there is little research on the correlation between terrain and river networks. In this paper, the Yellow...

  • Article
  • Open Access
16 Citations
3,937 Views
18 Pages

With population ageing being a notable demographic phenomenon, aging in place is an efficient model to accommodate the mounting aging needs. Based on the community scale, this study takes the 15-min community-life circle as the basic research unit to...

  • Article
  • Open Access
8 Citations
3,666 Views
17 Pages

Using Machine Learning to Extract Building Inventory Information Based on LiDAR Data

  • Gordana Kaplan,
  • Resul Comert,
  • Onur Kaplan,
  • Dilek Kucuk Matci and
  • Ugur Avdan

The extraction of building inventory information is vital for damage assessment and planning and modelling studies. In the last few years, the conventional data extraction for building inventory was overcome using various remote sensing data and tech...

  • Article
  • Open Access
12 Citations
18,643 Views
13 Pages

Sustainable development goal (SDG) 3 promotes well-being and healthy lives for people of all ages. However, based on the literature, one of the main challenges to achieving SDG 3 is inequality in access to health care. In order to support the efforts...

  • Article
  • Open Access
5 Citations
3,154 Views
15 Pages

Frequent severe heat waves have caused a series of health problems for urban dwellers. Swimming, an exercise that combines both cooling off and moderate to vigorous physical activity (MVPA), is one solution for alleviating the conflict between urban...

  • Article
  • Open Access
5 Citations
3,177 Views
12 Pages

Ndist2vec: Node with Landmark and New Distance to Vector Method for Predicting Shortest Path Distance along Road Networks

  • Xu Chen,
  • Shaohua Wang,
  • Huilai Li,
  • Fangzheng Lyu,
  • Haojian Liang,
  • Xueyan Zhang and
  • Yang Zhong

The ability to quickly calculate or query the shortest path distance between nodes on a road network is essential for many real-world applications. However, the traditional graph traversal shortest path algorithm methods, such as Dijkstra and Floyd&n...

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ISPRS Int. J. Geo-Inf. - ISSN 2220-9964