Dr. Huan Xie Profile

Dr. Huan Xie

at Tongji Univ

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Publications (10)

Proceedings Article | 15 November 2023 Paper

A robust optical navigation method for pin-point landing of asteroid based on 3D navigation features

Yaqiong Wang, Huan Xie, Xiongfeng Yan, Yifan Wang, Jie Chen, Xiaohua Tiong

Proceedings Volume 12815, 128152I (2023) https://doi.org/10.1117/12.3010263

KEYWORDS: Asteroids, Visualization, Optical navigation

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Proceedings Article | 31 January 2023 Paper

OSIRIS-REx OLA point cloud registration based on keypoints matching

Jiong Feng, Rong Huang, Huan Xie, Yaqiong Wang, Xiangsui Zeng, Jie Chen, Yifan Wang, Hongji Ni

Proceedings Volume 12505, 125051H (2023) https://doi.org/10.1117/12.2665810

KEYWORDS: Clouds, Space operations, LIDAR, Principal component analysis, Image processing, Image filtering, Data processing, Data conversion, Asteroids, Visualization

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Proceedings Article | 31 January 2023 Paper

An automatic classification method for mapping Martian landforms

Qin Lu, Sicong Liu, Xiaohua Tong, Shijie Liu, Huan Xie, Yanmin Jin

Proceedings Volume 12505, 125051M (2023) https://doi.org/10.1117/12.2664529

KEYWORDS: Mars, Visualization, Data modeling, Classification systems, Associative arrays, Analytical research, Semantics, Remote sensing, Principal component analysis, Visual analytics

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Proceedings Article | 31 January 2023 Paper

Reliability-weighted fusion of multiview photogrammetric point clouds for 3D terrain reconstruction of the lunar surface

Siyan Xu, Chen Chen, Yusheng Xu, Zhen Ye, Huan Xie, Xiaohua Tong

Proceedings Volume 12505, 125051C (2023) https://doi.org/10.1117/12.2664615

KEYWORDS: Clouds, Tolerancing, Visualization, Reliability, Cameras, 3D modeling, Photogrammetry, 3D image processing, Visual process modeling, Error analysis

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Proceedings Article | 31 August 2021 Paper

A satellite photon-counting laser altimeter calibration algorithm using CCRs and indirect adjustment

Yalei Guo, Huan Xie, Qi Xu, Xiaoshuai Liu, Xu Wang, Binbin Li, Xiaohua Tong

Proceedings Volume 11907, 1190724 (2021) https://doi.org/10.1117/12.2603099

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Proceedings Article | 2 December 2020 Paper

Satellite laser altimeter pointing and ranging calibration algorithm based on simulated annealing

Xu Wang, Huan Xie, Qi Xu, Binbin Li, Shijie Liu, Xiaohua Tong

Proceedings Volume 11717, 117172C (2020) https://doi.org/10.1117/12.2587287

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Proceedings Article | 9 December 2016 Presentation

Estimation of urban surface water at subpixel level from neighborhood pixels using multispectral remote sensing image (Conference Presentation)

Huan Xie, Xin Luo, Xiong Xu, Chen Wang, Haiyan Pan, Xiaohua Tong, Shijie Liu

Proceedings Volume 10004, 100040O (2016) https://doi.org/10.1117/12.2242367

KEYWORDS: Shape memory alloys, Remote sensing, Image processing, Multispectral imaging, Analytical research, Ecosystems, Associative arrays, Landsat, Reliability, Earth observing sensors

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Water body is a fundamental element in urban ecosystems and water mapping is critical for urban and landscape planning and management. As remote sensing has increasingly been used for water mapping in rural areas, this spatially explicit approach applied in urban area is also a challenging work due to the water bodies mainly distributed in a small size and the spectral confusion widely exists between water and complex features in the urban environment. Water index is the most common method for water extraction at pixel level, and spectral mixture analysis (SMA) has been widely employed in analyzing urban environment at subpixel level recently. In this paper, we introduce an automatic subpixel water mapping method in urban areas using multispectral remote sensing data. The objectives of this research consist of: (1) developing an automatic land-water mixed pixels extraction technique by water index; (2) deriving the most representative endmembers of water and land by utilizing neighboring water pixels and adaptive iterative optimal neighboring land pixel for respectively; (3) applying a linear unmixing model for subpixel water fraction estimation. Specifically, to automatically extract land-water pixels, the locally weighted scatter plot smoothing is firstly used to the original histogram curve of WI image . And then the Ostu threshold is derived as the start point to select land-water pixels based on histogram of the WI image with the land threshold and water threshold determination through the slopes of histogram curve . Based on the previous process at pixel level, the image is divided into three parts: water pixels, land pixels, and mixed land-water pixels. Then the spectral mixture analysis (SMA) is applied to land-water mixed pixels for water fraction estimation at subpixel level. With the assumption that the endmember signature of a target pixel should be more similar to adjacent pixels due to spatial dependence, the endmember of water and land are determined by neighboring pure land or pure water pixels within a distance. To obtaining the most representative endmembers in SMA, we designed an adaptive iterative endmember selection method based on the spatial similarity of adjacent pixels. According to the spectral similarity in a spatial adjacent region, the spectrum of land endmember is determined by selecting the most representative land pixel in a local window, and the spectrum of water endmember is determined by calculating an average of the water pixels in the local window. The proposed hierarchical processing method based on WI and SMA (WISMA) is applied to urban areas for reliability evaluation using the Landsat-8 Operational Land Imager (OLI) images. For comparison, four methods at pixel level and subpixel level were chosen respectively. Results indicate that the water maps generated by the proposed method correspond as closely with the truth water maps with subpixel precision. And the results showed that the WISMA achieved the best performance in water mapping with comprehensive analysis of different accuracy evaluation indexes (RMSE and SE).

SPIE Journal Paper | 3 October 2014

Unsupervised classification strategy utilizing an endmember extraction technique for airborne hyperspectral remotely sensed imagery

Xiong Xu, Xiaohua Tong, Liangpei Zhang, Hongzan Jiao, Huan Xie

JARS, Vol. 8, Issue 01, 085090, (October 2014) https://doi.org/10.1117/12.10.1117/1.JRS.8.085090

KEYWORDS: Hyperspectral imaging, Distance measurement, Image classification, Roads, Fuzzy logic, Error analysis, Remote sensing, Data modeling, Principal component analysis, Evolutionary algorithms

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SPIE Journal Paper | 24 July 2014 Open Access

New hyperspectral difference water index for the extraction of urban water bodies by the use of airborne hyperspectral images

Huan Xie, Xin Luo, Xiong Xu, Xiaohua Tong, Yanmin Jin, Haiyan Pan, Bingzhong Zhou

JARS, Vol. 8, Issue 01, 085098, (July 2014) https://doi.org/10.1117/12.10.1117/1.JRS.8.085098

KEYWORDS: Buildings, Hyperspectral imaging, Reflectivity, Near infrared, Landsat, Short wave infrared radiation, Image classification, Remote sensing, Sensors, Earth observing sensors

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Proceedings Article | 28 October 2006 Paper

Water quality monitoring model construction by integration of multi-source data: a case study in Whangpoo River upper region

Huan Xie, Xiao-hua Tong, Yan-ling Qiu, Hong-en Zhang, Jian-fu Zhao

Proceedings Volume 6418, 64181S (2006) https://doi.org/10.1117/12.713220

KEYWORDS: Data modeling, Reflectivity, Remote sensing, Oxygen, Data integration, Spectroscopy, Pollution, Reflection, Bridges, Sun

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