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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
3 Citations
2,891 Views
19 Pages

Social distancing is an effective method for controlling the COVID-19 pandemic by decreasing population mobility, but it has also negatively affected local business sales. This paper explores the spatio-temporal impact of population mobility on local...

  • Article
  • Open Access
3 Citations
2,688 Views
20 Pages

Topological Access Methods for Spatial and Spatiotemporal Data

  • Markus Wilhelm Jahn and
  • Patrick Erik Bradley

In order to perform topological queries on geographic data, it is necessary to first develop a topological access method (TOAM). Using the fact that any (incidence or other binary) relation produces a topology which includes the common usage of topol...

  • Article
  • Open Access
8 Citations
9,174 Views
20 Pages

GIS Based Procedural Modeling in 3D Urban Design

  • Ming Zhang,
  • Jielin Wu,
  • Yang Liu,
  • Ji Zhang and
  • Guanyao Li

Traditional urban design is time-consuming and laborious. We propose a computer-generated architecture (CGA)-based workflow in this work, with the goal of allowing designers to take advantage of a high level of automation. This workflow is based on p...

  • Article
  • Open Access
8 Citations
3,899 Views
22 Pages

The Polygonal 3D Layout Reconstruction of an Indoor Environment via Voxel-Based Room Segmentation and Space Partition

  • Fan Yang,
  • You Li,
  • Mingliang Che,
  • Shihua Wang,
  • Yingli Wang,
  • Jiyi Zhang,
  • Xinliang Cao and
  • Chi Zhang

An increasing number of applications require the accurate 3D layout reconstruction of indoor environments. Various devices including laser scanners and color and depth (RGB-D) cameras can be used for this purpose and provide abundant and highly preci...

  • Article
  • Open Access
7 Citations
2,719 Views
15 Pages

Crime prediction is crucial for sustainable urban development and protecting citizens’ quality of life. However, there exist some challenges in this regard. First, the spatio-temporal correlations in crime data are relatively complex and are he...

  • Article
  • Open Access
6 Citations
3,937 Views
17 Pages

This study proposes a time-space compression (TSC) model and evaluates the TSC effect of high-speed rail (HSR) on a sample of 2662 classified tourist destinations from 2008 to 2019 in China with the help of GIS technology. Based on panel models, this...

  • Article
  • Open Access
8 Citations
2,934 Views
14 Pages

The shape encoding of geospatial objects is a key problem in the fields of cartography and geoscience. Although traditional geometric-based methods have made great progress, deep learning techniques offer a development opportunity for this classical...

  • Article
  • Open Access
5 Citations
3,450 Views
16 Pages

Cartographic representations are subject to sensory perception and rely on the translation of sensory perceptions into cartographic symbols. In this respect, cartography is closely related to aesthetics, as it represents an academic discipline of sen...

  • Article
  • Open Access
4 Citations
3,144 Views
15 Pages

Invasive species are an important and growing issue of concern for land managers, and the ability to collect and visualize species coverage data is vital to the management of invasive and native species. This is particularly true of spatial data, whi...

  • Article
  • Open Access
17 Citations
3,704 Views
29 Pages

Socio-Ecological Vulnerability in Aba Prefecture, Western Sichuan Plateau: Evaluation, Driving Forces and Scenario Simulation

  • Xingping Yang,
  • Xiaoai Dai,
  • Wenyu Li,
  • Heng Lu,
  • Chao Liu,
  • Naiwen Li,
  • Zhengli Yang,
  • Yuxin He,
  • Weile Li and
  • Xiao Fu
  • + 3 authors

With the social and economic development in recent years, human activities have been more extensive and intensified. As a result, ecosystems are damaged to varying degrees, and regional ecological environments tend to be weaker. The socio-ecological...

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ISPRS Int. J. Geo-Inf. - ISSN 2220-9964Creative Common CC BY license