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Xiaohua Tong
Researcher at Tongji University
Publications - 411
Citations - 7381
Xiaohua Tong is an academic researcher from Tongji University. The author has contributed to research in topics: Computer science & Hyperspectral imaging. The author has an hindex of 32, co-authored 332 publications receiving 4855 citations. Previous affiliations of Xiaohua Tong include University of Toronto & Wuhan University.
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Journal ArticleDOI
A moving window-based spatial assessment method for dynamic urban growth simulations
TL;DR: Wang et al. as mentioned in this paper proposed a spatial evaluation method for urban growth simulation based on moving windows, where the metrics measured within each window are considered to be those of the central cell, and applied the generalized additive model to identify the quantitative relationship between the urban growth drivers and the spatial assessment metrics.
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Combined Geometric Positioning and Performance Analysis of Multi-Resolution Optical Imageries from Satellite and Aerial Platforms Based on Weighted RFM Bundle Adjustment
TL;DR: In this paper, the authors proposed a combined geometric positioning and performance analysis of multi-resolution optical images from satellite and aerial platforms based on weighted rational function model (RFM) bundle adjustment without using ground control points (GCPs).
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Block adjustment of large-scale high-resolution optical satellite imagery without gcps based on the gpu
TL;DR: The block adjustment without GCPs based on rational function model (RFM) model and its practical application in high-precision geo-positioning of optical satellite imagery is introduced and the results show that the sparse matrix compression can reduce the memory requirement effectively and the GPU parallel computing can solve the problem of large-scale BA computational efficiency.
Journal ArticleDOI
A NOVEL METHOD FOR ESTIMATION OF GLACIER SURFACE MOTION IN 1960s FROM ARGON KH-5 OPTICAL IMAGERY
TL;DR: In this article, a photogrammetric approach was developed to distinguish stable ice surface features from those on motion and use them for recovering the camera orientation information, which is used for estimating the ice sheet surface motion and reconstructing the surface model simultaneously from ARGON stereo images by decomposing the total parallaxes to terrain and motion based components.
Proceedings ArticleDOI
Feature-Level Fusion of Landsat-8 OLI-SWIR and TIR Images for Fine Burned Area Change Detection
TL;DR: Experimental results demonstrate the effectiveness of the proposed feature-level fusion approach comparing with the reference methods in term of higher separability value and detection accuracy.