ARTÍCULO
TITULO

Fusion Scheme and Implementation Based on SRTM1, ASTER GDEM V3, and AW3D30

Shangmin Zhao    
Jiao Liu    
Weiming Cheng and Chenghu Zhou    

Resumen

Multi-source data fusion can help to weaken the original data?s shortcomings while improving data accuracy. The experimental area in this research is Taiyuan City in Shanxi Province, China. Using SRTM1 DEM, ASTER GDEM V3, and AW3D30 DEM, the optimal resolution of the Fused DEM in the research area is determined by analyzing the topographic factor information entropy. Then the optimally weighted fusion coefficient of the DEM with root mean square error (RMSE) as the criterion under different slope classes is determined by traversal exploration and quantitatively evaluates the fusion effect. The results show that the optimal resolution of the Fused DEM is 40 m under the terrain feature constraint of Taiyuan city. The fused DEM decreases by 33.8%, 57.9%, and 11.5% for mean absolute error (MAE), 36.3%, 54.6%, and 1.4% for standard deviation (STD), and 32.8%, 54.2%, and 9.7% for root mean square error (RMSE) compared with SRTM1, ASTER GDEM V3, and AW3D30. The weighted average fusion of multiple intensities increased the accuracy of the original data. The reduced topographic factor errors, such as slope, profile curvature, and TPI, improved the Fused DEM?s topographic representation capacity. Furthermore, the results confirm the high accuracy of Fused DEM in complex mountainous regions.

 Artículos similares

       
 
Chengyi Qu, Xu Xi, Jinglong Du and Tong Wu    
Traditional frequency-domain watermarking algorithms for vector geographic data suffer from disadvantages such as the random watermark embedding position, unpredictable embedding strength, and difficulty in resisting multiple attacks at the same time. To... ver más

 
Yangnan Guo, Cangjiao Wang, Shaogang Lei, Junzhe Yang and Yibo Zhao    
Spatio-temporal fusion algorithms dramatically enhance the application of the Landsat time series. However, each spatio-temporal fusion algorithm has its pros and cons of heterogeneous land cover performance, the minimal number of input image pairs, and ... ver más

 
Sheeraz Arif, Jing Wang, Tehseen Ul Hassan and Zesong Fei    
Human activity recognition is an active field of research in computer vision with numerous applications. Recently, deep convolutional networks and recurrent neural networks (RNN) have received increasing attention in multimedia studies, and have yielded ... ver más
Revista: Future Internet

 
Md Ruhul Amin, Md Mahbubur Rahman, Mohammad Amazad Hossain, Md Khairul Islam, Kazi Mowdud Ahmed, Bikash Chandra Singh and Md Sipon Miah    
In this paper, we proposed the unscented Kalman filter (UKF) based on cooperative spectrum sensing (CSS) scheme in a cognitive radio network (CRN) using an adaptive fuzzy system?in this proposed scheme, firstly, the UKF to apply the nonlinear system whic... ver más