XXII ISPRS Congress 2012: Technical Commission VII

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Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663821976

Title:: Technical Commission VII

Scope:: 546 Seiten

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663821976

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B7)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VII/7: THEORY AND EXPERIMENTS IN RADAR AND LIDAR]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: SIGNAL NOISE REDUCTION BASED ON WAVELET TRANSFORM IN TWO-WAVELENGTH LIDAR SYSTEM Shuo Shi, Wei Gong, Lilei Lv, Bo Zhu, Shalei Song

Document type:: Multivolume work

Structure type:: Chapter

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012 XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia SIGNAL NOISE REDUCTION BASED ON WAVELET TRANSFORM IN TWO-WAVELENGTH LIDAR SYSTEM Shuo Shi* *, Wei Gong*, Lilei Lv”, Bo Zhu*, Shalei Song“ ? State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, Hubei 430079, China ? China Petroleum Engineering Limited liability company in North China branch (CPENC), Jianshe Road, Renqiu, Hebei 062552, China * Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, Hubei 430071, China Commission VII/7 KEY WORDS: LIDAR, Data mining, Proceedings, Algorithms, Estimation ABSTRACT: Nowadays lidar has become a leading edge technology for photogrammetry and remote sensing. A new lidar with two detection wavelengths was presented in this paper. The two-wavelength lidar can obtain spatial information and spectral information, and intensity of backscatter signals in two-wavelength can be availably used for objects identification and observation. However, the backscatter signals are weak and strongly influenced by the noise. In order to acquire accurate intensity, the signal noise has to be removed. As a useful tool for signal processing, wavelet transform was chosen. In this study, the principle of two-wavelength lidar was introduced and possible noise in the backscatter signal was analysed. Then the signal progressing was executed on the basic of wavelet de-noising. First, singular values caused by varieties of noise source have to be rejected from the signal based on three standard deviations. Second, combination of modulus maxima method and threshold method is used to make further improvement on the signal. Finally, an evaluation of the noise reduction was given to testify the ability of the method. The results show that the effect of the method based on wavelet transform is better than other classical algorithms, and the method is suitable for signal noise reduction in two-wavelength lidar system. 1. INTRODUCTION As an active measurement way of remote sensing, airborne laser scanning (ALS) has become a well-established technology for the detection of topography and for mapping the Earth's surface (A. Wehr and U. Lohr, 1999; K. Kraus and N. Pfeifer, 1998). However, the detection information of target characteristics by traditional lidar is poor because of the single-wavelength measurement (J Grace, et al, 2007). A new lidar with two detection wavelengths was provided by Wuhan University to improve the obtained information about properties of surface objects. Not only spatial information of objects but also spectral information can be acquired by the two-wavelength lidar, and intensity of backscatter signals in two-wavelength can be availably used for objects identification and observation. Furthermore, the two-wavelength lidar might be widely used for monitoring in the growth and nutrition status of vegetation. The two-wavelength lidar has been successfully developed and was used for features monitoring in the laboratory environment. As is well known, the backscatter signals of lidar are very weak. And it is difficult to obtain high-quality signals, especially in the condition of low-power transmitters and strong absorption on the objects. Besides, the weak signals received might be strongly influenced by all kinds of noise from the equipment and the ambient environment. In fact, the final signals acquired by the instrument are so poor that further application is hard to * Corresponding author. E-mail address: shishuo@whu.edu.cn continue. As a result, the signal noise has to be removed in order to get accurate information. Signal noise reduction based on wavelet transform has become the hot spot of academia right now. It is an effective method to reduce the noise in signal by wavelet multiscale decomposition (Liang Zhang, et al, 2002), and was applied for de-noising of backscatter signals in two-wavelength lidar system. In this paper, system description of two-wavelength lidar was given and the backscatter signals were presented. After the analysis of characteristic of noise, combination method of modulus maxima method and threshold method was proposed, and it was testified to be an effective algorithm to reduce the signal noise. 2. SYSTEM DESCRIPTION AND NOISE ANALYSIS 2.1 System Description The new breadboard instrument of two-wavelength lidar system has been developed. The system is mainly composed of three parts: the transmitting sub-system, the optical receiver sub- system and data acquisition and processing sub-system. The block diagram of the two-wavelength lidar system is shown in Figure 1.

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