STRIP Mapping is a novel approach developed by WingMan for efficient corridor mapping applications. Utilizing the Phase One PAS280 camera sensor mounted in an along-flight-path orientation, this method acquires portrait-style imagery, leveraging its 20,000-pixel along-track width (14,000 across-track). The core innovation lies in the seamless integration of three critical data streams: imagery, Global Navigation Satellite System (GNSS) data, and Inertial Measurement Unit (IMU) data. This integrated approach significantly enhances efficiency by reducing the need for multiple flight strips, thereby lowering overall mapping costs for utilities, pipelines, railways, and roads. A key finding is that the IMU-measured roll angle critically improves triangulation, a common challenge in single-image strip scenarios. Furthermore, this solution achieves superior color balance and remarkably reduces the number of images, seamlines, and orthorectification processing by 50%. STRIP Mapping presents a highly efficient, cost-effective, and technically advanced solution for high-precision corridor mapping, overcoming traditional limitations and streamlining post-processing workflows.

Along track corridor collection with WingMan’s PAS280 Sensor System coupled with the highest commercial accuracy Applanix IMU and GNSS.
STRIPmap Acquisition is purpose-built for the precise mapping of corridor features such as utility rights-of-way, pipelines, roads, and railways. When operated in STRIP mode, the sensor collects data at a resolution of 20,000 pixels along the track and 14,000 pixels across the track. This method significantly reduces the number of images and seamlines, enhancing the usability of image pixels within the defined corridor area of interest (AOI). Its effectiveness is further enhanced when integrated with LiDAR data.
For instance, when you compare the PAS 280 system in STRIP orientation to a Phase One 150 MP sensor (with 14,000 along-track by 10,000 across-track sensors), the PAS 280 is
50% more efficient.
Enhancing capture and processing efficiency in corridor mapping projects is achieved by minimizing the number of required images, as evidenced by Wingman's test flights conducted with the collaboration of Phase One, Trimble/Applanix, and Talos Aviation Group. Significant cost reductions are realized through a decreased image count, limited or eliminated need for control points, and simultaneous data collection, all of which result in improved return on investment.
50% reduction in image processing costs
Fewer images result in fewer seamlines, reducing QC and editing time around features such as buildings, speeding up data processing, and improving accuracy.
Fewer or no GCPs required
Using the Applanix IMU/GNSS AP610 system reduces survey costs, as improved triangulation produces dependable results with fewer large-frame images and less need for tie points or ground control points.
Tandem PAS280/LiDAR collection
STRIP Mapping aligns with most LiDAR swath widths and reduces Flight Lines, lowering fuel and aircraft time expenses.