Using Imagery for Intelligence Analysis

Jim Michel Renee Bernstein

Deriving Value from GIS and Imagery Capabilities Evolved Along Separate but Parallel Paths

…Earlier integration and Use Brings Maximum Value

Imagery brings value

GIS bring value

Imagery

Timely, rich information Measurements & analysis Authoritative source

GIS

Contextual relationships Visual integration Data Management Spatial Analysis

ArcGIS Is A Powerful Platform For Imagery Management, Analysis, Visualization and Dissemination

...Simplifies Workflows and Automates Processing

Advanced Processing

Dynamic Mosaicking

Fast Visualization Analysis

Any Imagery

(Including NTM & LIDAR) Massively Scalable

Automatic Enhancement

Highly Accurate Measurement

Integrates Video (FMV)

• 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

• Improves Productivity - Accelerated display - Better looking Imagery - Image Metadata and indexing for easy access

What This Means To Me Optimizing the Value and Use of Imagery

On-the-Fly Processing

Fast Display, Easy Access

Dynamic Mosaic

• 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

What Exactly is Imagery and Raster Data A Key Part of the Intelligence Puzzle

Multi-spectral

Many bands

Elevation

Single band (16/32 bit)

RGB color

3 bands

Panchromatic

Single band

Image Analysis Window

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

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

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

Image Analysis window – processing panel

• One-click access to several commonly used image processing techniques

- Orthorectification, pan-sharpening, convolution filters, clipping, …

Image Analysis window – Mensuration Panel

• Perform imagery mensuration - Distance - Location - Centroid - Height

- Base to top - Top to shadow - Base to shadow (with sensor info)

Image Analysis Window Demo

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

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

Integrates and Manages LiDAR Transforms Lidar Data Into Useful Information Products

…Supporting Improved Visualization and Analysis

LAS Files

Rasters

Point Clouds

TINs

Dynamic On-the-Fly Integration

Image Classification and Lidar Demo

Mosaic Dataset

• New data type at 10, has three main purposes: - Cataloging 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

The New Mosaic Dataset Management of Small and Large Collections of Imagery

…All Without Changing the Source Imagery

The New Mosaic Dataset Resolves Traditional Image Management Issues

Processing Time Reduces processing Overlapping Imagery Maintain original information Disparate Datasets Handle large NoData areas Image Quality Reduces resampling

Storage Reduces storage by removing

redundancy

Multi-resolution Data No need to sample up or down Maintenance Add imagery as required Maintain Metadata Valuable information

t1 t2

t3 t4 t5

• 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

Benefits of the Mosaic Dataset Catalog Imagery and Metadata

• Combine overlapping imagery from multiple sources • User control of Image Order

- By Date: ’Latest’, ‘Closest to May 2001’ - 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’

Benefits of the Mosaic Dataset Dynamic Mosaic Capability

• Define processing functions as part of Mosaic Dataset & imagery processed as accessed

• Processes - Orthorectify - Pansharpen - Extract (specify) Bands - Vegetation Index - Color Correction - Etc...

Benefits of the Mosaic Dataset On-Demand Processing of Imagery

…Create Multiple Products From a Single Source

The Mosaic Dataset Demonstration

• Image Exploitation • ICW • Web ELT

Web Based GIS Light weight applications for Image Exploitation

Questions?

• Exhibitors • I am GIS Photo Booth & Trading Cards • Hands-On Learning & Coaching Labs • Design Studio • Spatial Outlet • Esri Showcase • GIS Technical & Extended Support • 2 Demo theaters • Drinks & snacks

In the GIS Solutions EXPO

Don’t Miss These Attractions

6:30 PM–9:30 PM • Walking distance from convention center

• Conference Badge needed for reception

• Coat check available in courtyard

• Serving hot hors d’oeuvres and beverages

Smithsonian American Art Museum and National Portrait Gallery

Tuesday Evening Reception

11:30 AM–1:30 PM • Ballrooms A–C, Third Level

• Join conference attendees for lunch and closing session

• Closing Speaker Todd Park, U.S. CTO

• Wrap-up and request for feedback with Jack Dangermond.

Closing and Hosted Lunch

Wednesday Closing Session

Upcoming Events esri.com/events

Date Event Location

March 21, 2013 Esri DC Meet Up – Big Data & Location Analytics Washington, DC

April 18, 2013 Esri DC Meet Up Washington, DC

March 23–26, 2013 Esri Partner Conference Palm Springs, CA

March 25–28, 2013 Esri Developer Summit Palm Springs, CA

July 6–9, 2013 Esri National Security Summit San Diego, CA

July 8–12, 2013 Esri International User Conference San Diego, CA

Thank You Please complete a session evaluation form.

#FedGIS

Jim Michel – Jmichel@esri.com Renee Bernstein – Rbernstein@esri.com

mailto:Jmichel@esri.commailto:Rbernstein@esri.com

Using Imagery for Intelligence AnalysisDeriving Value from GIS and ImageryArcGIS Is A Powerful Platform For ImageryWhat This Means To MeWhat Exactly is Imagery and Raster DataImage Analysis WindowImage Analysis windowImage Analysis window – layer listImage Analysis window – display panelImage Analysis window – processing panelImage Analysis window – Mensuration PanelImage Analysis Window DemoImage classificationImage classification toolbarIntegrates and Manages LiDARImage Classification and Lidar DemoMosaic DatasetThe New Mosaic DatasetThe New Mosaic DatasetBenefits of the Mosaic DatasetBenefits of the Mosaic DatasetBenefits of the Mosaic DatasetDemonstrationWeb Based GISQuestions?In the GIS Solutions EXPOSmithsonian American Art Museum and National Portrait GalleryClosing and Hosted LunchUpcoming EventsThank You