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      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


        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

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

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