GEOWAY CIPS

GEOWAY CIPS (Clustered Image Processing System), an innovation supported by  the National Development and Reform Commission’s High-Tech Industrialization of Satellite Applications Project (Project No. 37 [2010]), is a complete technical solution for fast and batch processing of large-scale remote sensing images in a network computing environment. The core part of CIPS is automatic processing of massive remote sensing imagery based on high-performance cluster computing environment.

    Flight data quality checking

    Quickly checksthe issues of imageshole, overlap and rotating angle

    Quickly views the images of designated area

    Figure 1  The result of flight data quality checking

    Distortion correction

    Supportsa variety of distortion correction models, lower the distortion effects to the maximum extent

    Implements airborne calibration techniques to detect distortion parameters intelligently

    Fast Mosaicking

    Generates panorama image based on multiple original aerial images

    Offers a variety of technical solutions to support onsite processing and indoor processing

    Fig.2 Fast mosaickingresult (panorama)

    Aerial triangulation

    Lessrestrictions onPOS data and its accuracy

    High matching rate on weak texture areas and large rotary angle images

    Better than 1 pixel for the accuracy of tie-points

    Supports automatic aerial triangulation, optimizes and integrates the image matching, gross errorexclusion, adjustment and other modules

    Fig.4 Automatic tie-point matching in aerial triangulation

    Terrain products generation

    Shows fine topographical information through dense matching and semi-global matching error exclusion techniques

    Removes buildings, vegetation and other surface feature through intelligent filtering technique

    Meets the need of different levels of production through integrated 2D-3D terrain editing tools

    Generates contours in real time

    Fig.5 Overlay of DEM and contour

    DOM products generation

    Provides workflow for DOM generation to meet the requirements of fast and automatic image processing

    Implements the unique image dodging and logical image mosaickingtechnique

    Supports collaborative editing mode for seam lines in web environment

    Fig.6 Image dodging effect (left: before applying dodging; right: after applying dodging)

    DLG products generation

    Integration of data collecting and editing

    Integration of field work and indoor work

    Integration of database and mapping

    Fig.7 Convenient data collecting and editing tools

     

    Supports various data source

    Supports many types of UAV cameras, such as Canon, Sony, Nikon  UAVs.

    Adaptable for images with large angles and weak textures.


    Provides full-range product solutions

    Provides a whole set of solutions for flight data quality checking, distortion correction, and multiple data product generation.

    Supports multiple data outputs, such as panorama, coarse and fine DOM products.

    Supports various processing modes, such as routine and emergency modes.


    Offers strong emergency response capabilities

    Supports fast aerial triangulation and POS-only adjustment, saveingthe time of field work.

    Implements fast image mosaickingtechniques to generate the panorama image of survey area in short time.

    Decreases the manual work by providing the capability of automatic image processing.

    Supports parallel processing on multi-core computer.



    Emergency relief

    National geographical census

    Resource census

    Environmental monitoring

    Fundamental surveys

     ......


    Case #1: Fast image mosaicking

    Project overview


    Hardware overview


    Outputs


    Fig. Original images beforefast mosaicking


    Fig. Panorama image afterfast mosaicking


    Fig. Fast imagemosaicking results (upper-left: original image; upper-right: orthorectifiedimage; below: image fast mosaickingresult)



    Case #2: Routine DOM generation

    Project overview


    Hardware overview


    Accuracy report


    Fig. Accuracy report of DOM product

    Performance
    Taking 359 images as example, the performance details are listed in the following table:



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