STRIP Mapping

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.