Logo GISdevelopment.net

GISdevelopment > Proceedings > ACRS > 1999


1989 | 1990 | 1991 | 1992 | 1994 | 1995 | 1996 | 1997 | 1998 | 1999 | 2000 | 2002
Sessions

Agriculture/Soil

Water Resources

Disasters

Measurement and Modeling

Land Use

Forest Resources

Mapping from Space

Oceanography/Coastal Zone

Topics Including Education

Hyper Spectral Image Processing

Image Processing

Geology

Environment

GIS

Global Change

Airborne Remote Sensing

Poster Sessions
  • Session 1
  • Session 2
  • Session 3
  • Session 4
  • Session 5
  • Session 6



  • ACRS 1999


    Poster Session 3

    Printer Friendly Format

    Page 1 of 3
    | Next |

    Research on the Framework of Computer 3D Simulation SAR Integrated System

    Ge Yong1, Jinfeng Wang1,
    1State Key Laboratory of Resources and Environmental Information System
    Institute of Geography, Chinese
    Academy of Sciences, Beijing 100101, PR China,
    E-Mail:gey@lreis.ac.cn, wangjf@lreis.ac.cn
    Xiaoguang Lou2
    2Institute of Electron
    Chinese Academy of Sciences, Beijing 100080, PR China
    E_mail: yh_lou@263.net

    Keywords: Remote Sensing.SAR.Computer 3D Simulation Technique.Scattering Characteristics.Imaging Mechanism

    Abstract
    As a kind of active microwave remote sensing, Synthetic Aperture Radar has become one of main directions of development of remote sensing. Because SAR imaging process overmuch depends on the sensor and the scattering characteristics of ground object, it not only brings us some limitations on obtaining image, but also introduces errors into SAR image during obtaining image process. These problems will be discussed in this paper. We firstly review the computer simulation technique in remote sensing, the scattering characteristics of ground objects and the SAR imaging mechanism. Next, we propose the framework of computer simulation SAR integrated system. This system can produce dynamically SAR images not only in various kinds of incident angle.wavelength and polarimetric ways of sensor, but also in different phases of ground objects.vegetation variation. Using this system, we can replace the field work, save time and expenses, and avoid the risk aroused by wrong decisions and operations.

    1 Introduction
    The development of remote sensing has come into a new stage in the 1990s this century. As a kind of active microwave remote sensing which is one of important symbols in unprecedented development of remote sensing, Synthetic Aperture Radar has become one of main directions of development of remote sensing. SAR has unique advantages over the optical and infrared sensor, which include high resolution. round-the-clock work and the ability of penetrating through soil and vegetation in certain depth. Presently, SAR has important values in monitoring disaster and environment.resources investigation.ocean research.military scout and survey scopes.

    Now the researches for SAR mainly focus on three aspects: 1. Sensor system and the imaging system in the air; 2. The scattering characteristics of ground objects; 3. Postprocession work in the house including image processing and information extraction.

    Though SAR imaging has lots of advantages over optical remote sensing, the imaging process overmuch depend on the SAR sensor and the scattering characteristics of ground object So SAR provide us with images which are only confined a certain wavelength.polarimetric ways of sensor.time and special location et al. In additional, due to the limitations of equipment and processing techniques, most of operations performed in the air during the a series of processes from transmitting wave to producing image will inevitably introduced unpredictable system and random error into radar image For example, transfer dissipative.aircraft motion error and operation error will result in the uncertainty of SAR image. These uncertain information bring difficulties to image processing. information extraction and the mechanism research of remote sensing.

    Whereas, we propose one kind of computer simulation SAR system which integrates the subsystem of sensor and imaging.the subsystem of scattering characteristics of ground object and the subsystem of information retrieval into one to produce SAR simulation images using computer completely, that is, the three subsystems are implemented only using computer to simulate their work situation in reality.

    The direct goal of computer simulation SAR system is to produce real time.dynamic images. These images can be obtained not only in various kinds of incident angle.wavelength and polarimetric ways of sensor , but also in different phases of object.vegetation change. The final goals of this system are as follows: 1. Being capable of grasping the difference of images produced with different parameters(incident angle.wavelength and polarimetric ways ) under complex conditions. This predictability can help the integrated system to choose optimal system parameters(Shu,1997). 2. Being used in remote sensing inversion, finding the law of scattering characteristics of ground objects and establishing the quantitative relationship between scattering characteristics of ground objects and SAR image, ultimately replacing field work completely. 3. Saving time and money, and avoiding the risk and needless expenses produced by wrong decisions and operations. 4. Correcting the real SAR image using the simulation SAR image at the same area. 5. Helping us to know more the detail of system, and know how the critical part to effect the work status of whole system (for example, regulating some system parameter and observing how system to change).

    In what follows, we first review the development of computer simulation technique in remote sensing. Next, the computer SAR imaging mechanism is described. Then, the image processing and the information extraction for SAR simulation images are discussed. In Section 5, we propose the basic approach of realizing the computer simulation SAR integrated system, and establish the integrated framework for computer 3D simulation SAR system. The conclusion remarks on computer 3D simulation SAR system are presented in the final section.

    2 The Feasibility Analysis of Computer Simulation SAR
    In this section, we mainly discuss the basic environment for utilizing the computer simulation SAR and the development status of computer simulation SAR at the present time.

    2.1 The Basic Environment

    2.1.1 The development of techniques of obtaining Remote Sensing information

    In recent years, the Remote Sensing techniques take high-speed development. Various sensors existed include active sensors.passive sensors. aircraft and satellite sensor.optical sensor. infrared sensor and microwave sensor. Especially, high resolution CCD sensor coming out and high resolution commercial satellite blast-off in recent years have provide lots of air-to-ground information, so to speak, nearly arriving “information explosion” (Chen et al, 1998).

    2.1.2 Research of Mechanism of Remote Sensing and Information Extraction
    Object of remote sensing is the ground object. The essence of the remote sensing is the problem of inversion, that is, reasoning reversedly the geometry and physics characteristics of ground objects through microwave or light wave received (Chen,1998). For using better remote sensing data, many scholars of remote sensing devoted to the research of inversion of remote sensing all the time, and have gained plentiful achievements. Information extraction servers application directly. Presently, the work can be performed well by business software packages.

    2.1.3 The Development of Computer 3D Simulation Techniques
    Simulation is the modeling of a part of the world that we want to understand. A simulation echoes the behavior of this real world system as it changes from one state to another through time. A computer simulation provides a tool for studying real world systems in order to predict their behavior under a variety of conditions (Simulation Dynamics Inc. 1999). As the computer graphics and calculating functions become powerful gradually, computer 3D simulation techniques with might redoubled have come into the stage of application. For example, military tactics manoeuvre.simulation tornado and medicine expert directing surgery scene ,even some games we often play.

    2.2 The Development Status of Computer Simulation SAR
    In above section, we have mentioned that remote sensing techniques.computer techniques and simulation techniques have provided with abundant resources for computer 3D simulation SAR system. In this section, we mainly review computer 3D simulation in remote sensing in the world at the present time, which includes the simulation of scattering characteristic of ground objects and the simulation of remote sensing imaging.

    2.2.1 The Simulation of Scattering Characteristic of Ground Objects
    We have above mentioned that the essence of the remote sensing is to reason reversedly the geometry and physics characteristics of ground objects through microwave or light wave received. BRDF and s0 are attribute values to embody the geometry and physics characteristics of ground objects, nay are the important factors to understand remote sensing and monitor the vegetation canopy change. So it is fundamental and important step to study BRDF and s0.

    As computer techniques developing at striking speed, the method using computer simulation to gain BRDF and s0 like a new force suddenly rise has a good prospect. This method is not only instead of lots of field experiments in certain degree, but also a tool to identify other simple.practical model. Next, we introduce the research status of computer simulation at the scattering characteristic of ground objects.

    Page 1 of 3
    | Next |

    Applications | Technology | Policy | History | News | Tenders | Events | Interviews | Career | Companies | Country Pages | Books | Publications | Education | Glossary | Tutorials | Downloads | Site Map | Subscribe | GIS@development Magazine | Updates | Guest Book