Using Imagery for Intelligence Analysis

Transcription

1 2013 Esri International User Conference July 8 12, 2013 San Diego, California Technical Workshop Using Imagery for Intelligence Analysis Renee Bernstein Natalie Campos Esri UC2013. Technical Workshop.

2 Deriving Value from GIS and Imagery Capabilities Evolved Along Separate but Parallel Paths GIS Imagery brings value Imagery Contextual relationships Visual integration Data Management Spatial Analysis GIS bring value Timely, rich information Measurements & analysis Authoritative source Earlier integration and Use Brings Maximum Value

3 ArcGIS Is A Powerful Platform For Imagery Management, Analysis, Visualization and Dissemination Fast Visualization Analysis Highly Accurate Measurement Advanced Processing Integrates Video (FMV) Any Imagery Dynamic Mosaicking (Including NTM & LIDAR) Massively Scalable Automatic Enhancement...Simplifies Workflows and Automates Processing

4 What This Means To Me Optimizing the Value and Use of Imagery Dynamic Mosaic On-the-Fly Processing Reduces the Time To Use Problem - Direct from the sensor - Dynamic rendering Reduces Resource Requirements - One copy of raw images - Multiple image services from raw images - Analysis using dynamic image service Fast Display, Easy Access Improves Productivity - Accelerated display - Better looking Imagery - Image Metadata and indexing for easy access

5 What Exactly is Imagery and Raster Data A Key Part of the Intelligence Puzzle Data stored in a matrix of regularly spaced cells (pixels) - Arranged in rows and columns cell value represents information Stored in many file formats or within a database - NITF, JPG, TIF, DEM, many others Single to multiple bands Usually large in size Panchromatic RGB color Multi-spectral Elevation Single band 3 bands Many bands Single band (16/32 bit)

6 Image Analysis Window

7 Image Analysis window Collection of commonly used display capabilities and processes Display - Enhance the appearance of data Processing - One-click/On-the-fly processing Mensuration - Geometric imagery measurements Dockable window

8 Image Analysis window layer list Lists raster layers in active data frame - Raster dataset layer - Mosaic dataset layer - Image service layer - WCS layers (Raster catalog layers not supported) Allows you to - Access layer properties dialog - Remove layer - Accelerate layer

9 Image Analysis window display panel Contains display enhancement tools - Contrast, brightness, gamma, transparency - Dynamic range adjustment (DRA) - Background - Top Up - Stretch - Resample - One-to-one - Comparing two layers - Swipe - Flicker

10 Image Analysis window processing panel One-click access to several commonly used image processing techniques - Orthorectification, pan-sharpening, convolution filters, clipping,

11 Image Analysis window Mensuration Panel Perform imagery mensuration - Distance - Location - Centroid - Height - Base to top - Top to shadow - Base to shadow (with sensor info)

12 Demo Image Analysis Window Natalie Campos

13 Image classification Process of extracting pixels into classes Types - Supervised classification - Uses spectral signatures obtained from training samples - Requires user intervention - Unsupervised classification - Finds spectral classes (or clusters) in a multiband image without user intervention Output can be used to create thematic maps

14 Image classification toolbar Provides integrated environment - Supervised classification - Uses spectral signatures obtained from training samples - Requires user intervention - Unsupervised classification - Finds spectral classes (or clusters) in a multiband image without user intervention Requires Spatial Analyst extension

15 Integrates and Manages LiDAR Transforms Lidar Data Into Useful Information Products Rasters TINs LAS Files Dynamic On-the-Fly Integration Point Clouds Supporting Improved Visualization and Analysis

16 Demo Image Classification and Lidar Natalie Campos

17 Mosaic Dataset

18 The New Mosaic Dataset Management of Small and Large Collections of Imagery New data type at 10, has three main purposes: - Cataloging of images and metadata - Dynamic Mosaicking - On-the-fly Processing Stored in geodatabase - References original pixels - Authored and accessible directly in ArcGIS Desktop, or served via ArcGIS Server All Without Changing the Source Imagery

19 The New Mosaic Dataset Resolves Traditional Image Management Issues Processing Time Reduces processing Overlapping Imagery Maintain original information t1 t2 t3 t4 t5 Storage Reduces storage by removing redundancy Multi-resolution Data No need to sample up or down Disparate Datasets Handle large NoData areas Image Quality Reduces resampling Maintenance Add imagery as required Maintain Metadata Valuable information

20 Benefits of the Mosaic Dataset Catalog Imagery and Metadata Quickly catalog what imagery you have where - Different sensors and types - Different coordinate systems Define properties for - Header file information/metadata - Processing to be applied - Default viewing rules

21 Benefits of the Mosaic Dataset Dynamic Mosaic Capability Fuse overlapping imagery from multiple sources User control of Image Order - By Date: Latest, Closest to May By Attribute: Highest Sun Angle - By Viewpoint: North, South, East, West - Seamline: Feathered blend - User Query: Landsat imagery, with no cloud, later than June 2001

22 Benefits of the Mosaic Dataset On-Demand Processing of Imagery Define processing functions as part of Mosaic Dataset & imagery processed as accessed Processes - Orthorectify - Pansharpen - Extract (specify) Bands - Vegetation Index - Color Correction - Etc... Create Multiple Products From a Single Source

23 Demo Mosaic Dataset Natalie Campos

24 Web Based GIS Light weight applications for Image Exploitation Image Observables Discovery Application

25 Demo Web Applications Renee Bernstein

26 Questions?

27 Thank you Please fill out the session evaluation Offering ID: 1951 Online Paper pick up and put in drop box

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