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Description
The extensive, high-resolution images utilized in the geospatial sector offer critical insights, yet their large file sizes can create significant obstacles for sharing, viewing, and manipulating this information effectively. GeoExpress empowers geospatial experts to compress these images into our unique, industry-standard MrSID format. This format allows for both lossless and visually lossless compression, making it possible for users to reduce file sizes without compromising the quality of the images. Additionally, GeoExpress includes features for editing geospatial imagery during the compression process, enhancing the quality of visual data for subsequent analysis. Its standard editing tools encompass cropping and color adjustment, while also providing functionalities like reprojection and mosaicking. By compressing image files and geospatial data down to as little as 5% of their original size or cutting file sizes by half, you can maximize storage efficiency, streamline usage, and simplify the distribution process without losing visual integrity. This approach ultimately leads to improved accessibility and usability of vital geospatial information.
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
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
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
No
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
No
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
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
LizardTech
Website
www.lizardtech.com
Vendor Details
Company Name
OneView
Founded
2018
Country
Israel
Website
www.oneview.space/
Product Features
GIS
3D Imagery
No
Census Data Integration
No
Color Coding
Yes
Geocoding
No
Image Exporting
Yes
Image Management
Yes
Internet Mapping
Yes
Interoperability
Yes
Labeling
No
Map Creation
No
Map Sharing
Yes
Near-Matching
Yes
Reverse Geocoding
No
Spatial Analysis
Yes
