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Dive into the research topics where Tong Liqiang is active.

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Featured researches published by Tong Liqiang.


Remote Sensing for Land & Resources | 2012

Object-based Point Clouds Classification of the Vegetation and Building Overlapped Area

Tong Liqiang; Li Li

This paper proposes an object-oriented point clouds classification method for solving the difficult classification problem for the overlapping between vegetation and buildings based on reviewing current status of LiDAR point clouds classification approaches.In the proposed method,the point clouds are firstly separated into ground points and non-ground points through adaptive TIN filter method,and the DTM is obtained.Second,a triangle network is constructed for non-ground points higher than DTM.The non-ground point clouds could be divided into multi-objects by removing longer edges(edge between ground and object).Then,the object is judged to decide whether it belongs to vegetation or building according to its information entropy of triangle network slope.Finally,for objects difficult to be distinguished from other objects,the overlapped area between vegetation and buildings is extended by geometric shape of buildings,so that the accuracy of point clouds classification of the overlapped area could be improved.The experiment results show good classification performance for buildings and vegetation,and the accuracy reaches 87%.


Remote Sensing for Land & Resources | 2011

A METHOD FOR EXTRACTING REMOTE SENSING INFORMATION FROM ROCKY DESERTIFICATIONAREAS IN SOUTHWEST CHINA

Tong Liqiang

This paper presents a new method for automatically extracting rocky desertification information on the basis of GIS platform by using TM data as information source, with the result being vector parcels. The auto-extracting theory, means, steps and results of this method are discussed in detail.


Remote Sensing for Land & Resources | 2011

REMOTE SENSING INVESTIGATION OF LAND USE STATUS AND APPLICATION OF LAND RESOURCES INFORMATION SYSTEM IN CHONGQING CITY

Tong Liqiang; Zhang Xiao-Kun; Li Man; Wang Jian-Chao; Han Xu; Cheng Yang; Wang Min; Fang Fang; Ren Xiu-long; Xu Xiang-ming; Zhu Jing-liang

This paper first introduces how to get basic information through remote sensing interpretation and field works, then describes the method of inputting remote sensing investigation results and other geographical, social and economic information into GIS based on consolidate software and hardware environment. At last, using GIS special functions to analyze the status of land use and social economy in Chongqing City.


wri world congress on software engineering | 2010

The Depth Research for Salt Lake by Remote Sensing Technology

Li Li; Tong Liqiang; Li Xiaohui

Based on the theory of spectral response, the physical basis of remote sensing technology, with CBERS-2 and measured data, Tibet Zhabuye salt lake as study area, by the way of spectral correlation analysis, fitting and inversion, carry on research about the depth of salt lake with high density.


Pratacultural Science | 2008

Features of Karst ecosystem and integrating measure for rock desertification in Southwest China

Tong Liqiang


Remote Sensing for Land & Resources | 2009

EMERGENCY REMOTE SENSING INVESTIGATION OF BARRIERLAKES AT THE QUAKE CENTER AREA CAUSED BY“5•12” WENCHUAN STRONG EARTHQUAKE

Tong Liqiang


Remote Sensing for Land & Resources | 2014

Single image geo-spatial mapping

Tong Liqiang; Nie Hong-Feng; Li Jiancun; Guo Zhaocheng


Remote Sensing for Land & Resources | 2013

The inversion of soil water content by the improved apparent thermal inertia

Tong Liqiang; Guo Zhaocheng


Remote Sensing for Land & Resources | 2011

APPLICATION OF TM DATA TO LAND USE CHANGE MONITORING

Li Li; Tong Liqiang; Li Xiao-Hui; Zhang Ying-wen; Wang Liang; Yang Sheng-fa


Remote Sensing for Land & Resources | 2017

Temporal and spatial distribution of aerosol optical depth in Chizhou based on satellite remote sensing

Zheng Xiongwei; Yang Jinzhong; Chen Ling; Chen Hua; Sun Yong-Jun; Fu Changliang; Tong Liqiang; Zhong Chang; Wei Yingjuan

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Li Li

Remote Sensing Center

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Wang Jian-Chao

Beijing Normal University

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