Hongshun Chen

Hongshun Chen

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Hongshun Chen

Beijing Normal University

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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9 December 2015
Verified
Conference Paper
Closed access
PDF file
HCHongshun Chen
Hongshun Chen
HHHui He
Hui He
HXHongyu Xiao
Hongyu Xiao
JHJing Huang
Jing Huang
We proposed a fast and fully automatic mosaic method for high-resolution satellite images. First, the overlapped rectangle is computed according to geographical locations of the reference and mosaic images and feature points on both the reference and mosaic images are extracted by a scale-invariant feature transform (SIFT) algorithm only from the overlapped region. Then, the RANSAC method is used to match feature points of both images. Finally, the two images are fused into a seamlessly panoramic image by the simple linear weighted fusion method or other method. The proposed method is implemented in C++ language based on OpenCV and GDAL, and tested by Worldview-2 multispectral images with a spatial resolution of 2 meters. Results show that the proposed method can detect feature points efficiently and mosaic images automatically.

6 February 2026 in SSRN Electronic Journal
Verified
Preprint
Open access
RZRujing Zha
Rujing Zha
HCHongshun Chen
Hongshun Chen
ZCZihan Chen
Zihan Chen
MLMalachi Landis
Malachi Landis
Wenpan LiWenpan Li
Wenpan Li
JCJian Cao
Jian Cao
To facilitate data-driven composition-structure-property models suitable for various mechanical and thermal loading conditions, high-throughput material testing methods are highly desirable. In this work, we develop the High-Temperature Dimple Array Bulge Instrument (HT-DABI), a novel materials testing instrument that uses a 5×5 array of induction-heated dimple cells which are inert-gas pressurized to achieve a heterogeneous yet readily resolvable stress condition. Deformation data of the 25 independent cells are measured simultaneously using high-temperature 3D digital image correlation; then, finite-element coupled optimization frameworks extract the elastoplastic and creep properties from the displacement and pressure data. HT-DABI can conduct high-temperature creep experiments parallelized across stress levels, temperatures, and material compositions, as well as elevated-temperature static tensile experiments parallelized across compositions and temperatures. We validate the approach using a wrought IN625 plate and show that this approach can accurately determine the creep exponent and activation energy within 10% of the ground-truth value, at 1/200th of the testing time needed for 25 materials, and the yield stress to within 15%. The DABI system paves the way for a unified component design-testing framework, in which experiments dynamically sample locations in composition space or test interfacial material behavior requested by the optimization framework for rapid co-design of part geometry and composition in a component fabricated from a functionally graded material.

24 July 2026 in Acta Materialia
Verified
Journal Article
Closed access
HCHongshun Chen
Hongshun Chen
RZRyan Zhou
Ryan Zhou
RZRujing Zha
Rujing Zha
ZCZihan Chen
Zihan Chen
Wenpan LiWenpan Li
Wenpan Li
HEHoracio D. Espinosa
Horacio D. Espinosa