Phase One announces the release ofiX Process for aerial camera components, extending a workflow solution previously reserved for complete Phase One Aerial Systems to a broader user base operating individual imaging components.
Designed to simplify and accelerate aerial imagery review and radiometric adjustment, iX Process introduces a unified environment that replaces traditionally fragmented workflows. The platform enables mapping professionals to move more efficiently from data acquisition to analysis, improving productivity while maintaining full control over image quality.
One workflow, full control
In conventional aerial mapping operations, image review and radiometric correction often rely on multiple software tools and manual steps. This fragmentation increases processing time and operational complexity. iX Process addresses this challenge by consolidating these tasks into a single workflow. Users can import datasets and immediately visualize the entire project within a coherent geospatial context, enabling rapid assessment of acquisition conditions, dataset filtering, and advanced radiometric adjustments. The result is a streamlined pipeline that supports faster decision-making and reduces the risk of errors or rework.
Instant visualization and early quality assessment
A key feature of iX Process is the immediate visualization of projects upon data import. This capability allows operators to identify potential issues early in the workflow, significantly reducing turnaround times. By providing a unified project view, the platform enhances quality control processes and supports more confident operational decisions—an increasingly critical factor in large-scale mapping and surveying campaigns.
Leveraging IIQ for radiometric performance
iX Process is designed to fully exploit Phase One’s Intelligent Image Quality (IIQ) format, enabling high-precision radiometric adjustments while preserving raw data integrity.
This approach delivers multiple advantages:
- Reduced storage requirements
- Faster data handling
- Consistent image quality across datasets
Moreover, the platform integrates seamlessly with downstream photogrammetric processing, ensuring continuity across the entire geospatial production chain.
Extending hardware value through software
Beyond workflow optimization, iX Process enhances the performance of existing Phase One imaging components. By introducing advanced radiometric tools and automation, users can extend the lifecycle and productivity of their hardware without requiring additional upgrades. This software-driven approach aligns with broader industry trends, where value increasingly shifts from hardware capabilities to integrated data processing ecosystems.
From image capture to complete workflow solutions
With the introduction of iX Process, Phase One strengthens its positioning as a provider of end-to-end mapping solutions. The platform acts as a bridge between data acquisition and photogrammetric processing, reflecting the company’s “Pixels to Perception™” philosophy. The release also introduces a subscription-based licensing model, marking a strategic shift toward scalable service delivery and long-term customer engagement.
Proven efficiency gains
Early adopters report substantial improvements in operational efficiency. According to Andrés Vásquez, CEO of Aeroestudios: “We’ve seen around a 70% reduction in processing time, with far less manual intervention and more consistent results across the entire dataset. iX Process turns radiometric correction from a hands-on task into a scalable process.”
A platform for modern mapping challenges
iX Process is designed to address key challenges in contemporary geomatics workflows, including:
- Fragmented processing environments
- Delayed quality assessment
- Complex radiometric correction procedures
By integrating visualization, analysis, and processing into a single platform, the solution enables professionals to operate with greater speed, accuracy, and confidence. In this context, iX Process represents a significant step toward more integrated, efficient, and future-ready mapping workflows—where raw imagery is rapidly transformed into actionable geospatial insight.
Source: ( Earth Imaging Journal )
