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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Geographic Imager® is a powerful enhancement for Adobe Photoshop that streamlines the process of working with spatial imagery, making it both rapid and efficient. This software introduces a variety of tools designed for the import, editing, manipulation, and exportation of geospatial images, including aerial and satellite visuals. Users can seamlessly utilize native Adobe Photoshop features like transparencies, filters, pixel editing, and various image adjustments such as brightness and contrast, all while preserving spatial referencing. Any image format compatible with Adobe Photoshop can serve as the foundation for a spatial image, allowing for a versatile approach to editing. Additionally, it supports the import of widely-used spatial image formats, such as GeoTIFF, MrSID, NITF, and PCI, among others. Digital elevation formats, including Esri GRID, BIL, and USGS DEM, can also be imported effortlessly. The Geographic Imager panel is designed for user convenience, providing quick access to all essential tools and functions. Moreover, it displays all spatial data associated with the image, such as the coordinate system and the world location of the corners, ensuring that users have all necessary information at their fingertips. This comprehensive functionality makes Geographic Imager an invaluable tool for professionals working with geospatial imagery.

Description

Utilizing only real data presents notable obstacles in the training of machine learning models. In contrast, synthetic data offers boundless opportunities for training, effectively mitigating the limitations associated with real datasets. Enhance the efficacy of your geospatial analytics by generating the specific imagery you require. With customizable options for satellite, drone, and aerial images, you can swiftly and iteratively create various scenarios, modify object ratios, and fine-tune imaging parameters. This flexibility allows for the generation of any infrequent objects or events. The resulting datasets are meticulously annotated, devoid of errors, and primed for effective training. The OneView simulation engine constructs 3D environments that serve as the foundation for synthetic aerial and satellite imagery, incorporating numerous randomization elements, filters, and variable parameters. These synthetic visuals can effectively substitute real data in the training of machine learning models for remote sensing applications, leading to enhanced interpretation outcomes, particularly in situations where data coverage is sparse or quality is subpar. With the ability to customize and iterate quickly, users can tailor their datasets to meet specific project needs, further optimizing the training process.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Adobe Photoshop Yes 

Integrations

Adobe Photoshop No 

Pricing Details

$99 per license
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Avenza Systems

Founded

1995

Country

Canada

Website

www.avenza.com/geographic-imager/

Vendor Details

Company Name

OneView

Founded

2018

Country

Israel

Website

www.oneview.space/

Product Features

Graphic Design

Collaboration No 
Data Visualization No 
Filtering No 
Image Database No 
Image Editor No 
Templates No 

Product Features

Alternatives

Alternatives