Showing papers by "Jun Yang published in 2019"
TL;DR: Wang et al. as mentioned in this paper applied performance-based planning to assess the impact of urban building morphology on local climate surface temperatures under different wind conditions during 2017 in Shanghai, China using multi-source data, such as frontal area density (FAD), local climatic zone classification, land surface temperature (LST) data, and geographic information.
193 citations
TL;DR: In this article, the authors analyze and simulate spatio-temporal dynamic features of urban landscape to understand the mutual evolution of landscape types in the context of urban environments. But, they do not consider the relationship between different types of landscapes.
Abstract: In recent years, the rapid expansion of urban spaces has accelerated the mutual evolution of landscape types. Analyzing and simulating spatio-temporal dynamic features of urban landscape can help t...
106 citations
TL;DR: In this article, a nonlinear correlation analysis was used to analyze the correlation between the frontal area index (FAI) and land 77uuyyhsurface temperature (LST) under different grids.
Abstract: Due to rapid urbanization, China's urban morphology has undergone tremendous changes, resulting in an increased urban heat island (UHI) effect and negative impact of thermal environment, especially in summer. Studying the scale effect between urban wind and thermal environment can provide the best scale for the wind environment planning on mitigating UHI effect. Taking Dalian as an example, using multi-source data, a nonlinear correlation analysis was used to analyze the correlation between the frontal area index (FAI) and land 77uuyyhsurface temperature (LST) under different grids. The results show that first, FAI is sensitive to grid-size changes. When the grid size increases from 25 × 25 m to 150 × 150 m with a step size of 25 m, in July, the numbers of grids with FAI > 1 are 19,992, 1538, 153, 20, 4, and 0 (0%) accounting for 2.106%, 0.645%, 0.081%, 0.019%, 0.006%, and 0% of the total, respectively. In September, the numbers of grids with FAI > 1 are 17,633, 1643, 164, 22, 8, and 0, accounting for 1.849%, 0.689%, 0.155%, 0.037%, 0.021%, and 0% of the total, respectively. When the grid size is greater than or equal to 150 × 150 m, there is no grid with FAI > 1. Second, the most effective grid size to study the relationship between FAI and LST is 25 m. When the grid size increases from 25 m to 300 m with a step size of 25 m, the correlation between FAI and LST shows a significant decrease. When the grid size is 25 m, the correlation is the strongest.
95 citations
TL;DR: Experimental results successfully demonstrate that the proposed band selection technique known as ISD–ABC provides good classification accuracy compared with six other state-of-the-art band selection techniques.
70 citations
TL;DR: In this paper, the authors explore how tourists' perceived authenticity influences their subjective well-being (SWB) in the context of heritage tourism via the mediating role of place attachment and satisfaction.
Abstract: The aim of this study is to explore how tourists’ perceived authenticity influences their subjective well-being (SWB) in the context of heritage tourism via the mediating role of place attachment and satisfaction. Taking the tourists of the Palace Museum as an example, the results indicate that: (a) authenticity has a significant positive impact on place attachment and satisfaction; (b) place attachment can significantly enhance satisfaction, but different dimensions of place attachment have different effects on SWB; (c) place attachment and satisfaction play mediating roles in the relationship between authenticity and SWB. The conclusion of this study highlights the significance of authenticity in heritage tourism, and further discusses how to promote tourists’ SWB through the perception of authenticity.
31 citations
TL;DR: A novel unsupervised feature selection method is suggested to remove the redundant features of HSI by feature subspace decomposition and optimization of feature combination and results confirm the superior performance of the proposal with respect to three classification accuracy indices overall accuracy (OA), average accuracy (AA) and kappa coefficient (κ).
Abstract: Hyperspectral image (HSI) with hundreds of narrow and consecutive spectral bands provides substantial information to discriminate various land-covers. However, the existence of redundant features/b...
17 citations
TL;DR: Wang et al. as mentioned in this paper constructed a two-stage dynamic game model and analyzed various emission reduction policies' impact on the steel industry and enterprises, and observed that with the increasing emission reduction target (15% − 30%) and carbon quota trading price (12.65 − 137.59 Yuan), social welfare and producer surplus show an increasing trend and emission macro losses show a decreasing trend.
Abstract: To study the emission reduction policies’ impact on the production and economic level of the steel industry, this paper constructs a two-stage dynamic game model and analyzes various emission reduction policies’ impact on the steel industry and enterprises. New results are observed in the study: (1) With the increasing emission reduction target (15%–30%) and carbon quota trading price (12.65–137.59 Yuan), social welfare and producer surplus show an increasing trend and emission macro losses show a decreasing trend. (2) Enterprises’ reduction ranges in northwestern and southwestern regions are much higher than that of the other regions; the northeastern enterprise has the smallest reductions range. (3) When the market is balanced (0.8543–0.9320 billion tons), the steel output has decreased and the polarization in various regions has been alleviated to some extent. The model is the abstraction and assumption of reality, which makes the results have some deviations. However, these will provide references to formulate reasonable emissions reduction and production targets. In addition, the government needs to consider the whole and regional balance and carbon trading benchmark value when deciding the implementation of a single or mixed policy. Future research will be more closely linked to national policies and gradually extended to other high-energy industries.
15 citations
TL;DR: The proposed three-step classification scheme explores how to effectively use the global spectral information and local spatial structure of hyperspectral data for HSI classification and the use of DPR technology in preprocessing significantly improves the classification accuracy.
Abstract: Hyperspectral image (HSI) classification is one of the most active topics in remote sensing. However, it is still a nontrivial task to classify the hyperspectral data accurately, since HSI always suffers from a large number of noise pixels, the complexity of the spatial structure of objects and the spectral similarity between different objects. In this study, an effective classification scheme for hyperspectral image based on superpixel and discontinuity preserving relaxation (DPR) is proposed to discriminate land covers of interest. A novel technique for measuring the similarity of a pair of pixels in HSI is suggested to improve the simple linear iterative clustering (SLIC) algorithm. Unlike the existing application of SLIC technique to HSI, the improved SLIC algorithm can be directly used to segment HSI into superpixels without using principal component analysis in advance, and is free of parameters. Furthermore, the proposed three-step classification scheme explores how to effectively use the global spectral information and local spatial structure of hyperspectral data for HSI classification. Compared with the existing two-step classification framework, the use of DPR technology in preprocessing significantly improves the classification accuracy. The effectiveness of the proposed method is verified on three public real hyperspectral datasets. The comparison results of several competitive methods show the superiority of this scheme.
7 citations