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您現在的位置:網站首頁 專業軟體光碟 Windows 系統應用軟體 碟片詳情
商品编号: DVDXX15042
商品名稱: PCI Geomatica 2018 SP1 Build 2019.02.01 x64 遙感圖像處理軟件
碟片數量: 1片
銷售價格: 100
瀏覽次數: 8007

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PCI Geomatica 2018 SP1 Build 2019.02.01 x64 遙感圖像處理軟件
PCI Geomatica 軟件是地理空間信息領域世界級的專業公司加拿大PCI公司的旗幟產品,其當前最新版本Geomatica 已經集成了遙感影像處理、專業雷達數據分 析、GIS/空間分析、製圖和桌面數字攝影測量系統,成為一個強大的生產工作平台,並且重組了模塊構成,使得軟件模塊更面嚮應用而且簡潔。
PCI Geomatica作為圖像處理軟件系統的先驅,以其豐富的軟件模塊、支持所有的數據格式、適用於各種硬件平台、靈活的編程能力和便利的數據可操作性代表了圖像處理系統的發展趨勢和技術先導。
作為一個地理空間軟件的專業使用者,您的工作是從影像中獲得最多的數據信息,用獲得的信息幫助您制定更好的決策方案。而PCI Geomatics的使命,就是為圖像處理工作者提供最好的工具,幫助他們將空間數據轉為信息。

Developer by PCI Geomatics, Geomatica is an analysis application dedicated to earth observation data. It enables professionals and enthusiasts alike to open satellite and aerial images, in order to investigate details using advanced techniques.

Analysis Ready Data Tools for Rigorous Scientific Analysis
Rapidly and easily preprocess large volumes of satellite imagery to perform meaningful multi-temporal analysis. Spend less time normalizing and correcting satellite imagery, and more time analyzing time series to derive actionable information. The Analysis Ready Data Tools add-on works with all supported sensors to create time-series stacks that can populate a Data Cube.

DSM True Ortho Generation
Overcome many of the limitations of Digital Terrain Model (DTM) ortho products by automatically generating true-ortho products through automatically extracted, highly accurate Digital Surface Models (DSMs). The automatic DSM true-ortho add-on allows can save hours of manual labour extracting 3D models or performing expensive ground surveys. Generating high quality DSM true-ortho products has never been easier.

High Resolution DSM Extraction
Extracting high quality, high resolution Digital Surface Models from the latest sensors is easier and faster than ever. Work with 100’s or 1,000s of stereo pairs using advanced technology. Intelligently combine multiple viewing points to produce Multi-View Digital Surface Models, giving you higher detailed and more accurate results.

Optical and SAR Segmentation, Classification and Feature Extraction
Easy-to-learn and easy-to-use, the Object Analyst add-on guides you through image segmentation, training site creation, classification (including creating custom rules) and feature extraction. By segmenting optical or SAR images into discrete shapes, boundaries and relationships can be more easily seen and analyzed, providing efficient means to extract features from imagery. Improving the final quality of analysis can be accomplished through the use of intuitive reshaping tools.

InSAR Processing
End-to-end interferometric radar processing to derive deformation maps or elevation products can be achieved through the InSAR add-on. Each step in the process is designed to be flexible, intuitive, and to run independently or in sequence through the Geomatica Python API, with automation driven by metadata for operational applications. InSAR is suitable for DEM generation, and any land deformation application and allows time-series analysis for measuring surface displacement and velocity to sub-centimeter accuracy.

Pansharpening
Pansharpening algorithms have been added to the existing methods, including a Multi-Resolution Analyis (MRA) fusion technique that creates high-resolution color images by fusing black-and-white panchromatic (PAN) and multispectral (MS) color images. The key advantage of the MRA fusion technique is that it produces similar-to-superior sharpening results while preserving the spectral characteristics of the original image, making it possible to conduct analysis at higher resolutions.

Pansharpening
Pansharpening algorithms have been added to the existing methods, including a Multi-Resolution Analyis (MRA) fusion technique that creates high-resolution color images by fusing black-and-white panchromatic (PAN) and multispectral (MS) color images. The key advantage of the MRA fusion technique is that it produces similar-to-superior sharpening results while preserving the spectral characteristics of the original image, making it possible to conduct analysis at higher resolutions.

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