AIMS (Aerial Integrated Multi-sensor) is a patented, internationally pioneering system developed by Feiyan Remote Sensing. It represents the ultimate solution for high-efficiency, high-precision geospatial data acquisition. By integrating a nadir camera, oblique cameras, a LiDAR scanner, and a hyperspectral imager into a single platform, AIMS revolutionizes traditional surveying by enabling the synchronous capture of multi-source data in a single flight. This “one-flight, all-data” approach delivers perfectly aligned datasets—including 284-megapixel orthoimagery, 150-megapixel oblique imagery, dense LiDAR point clouds at 2 million points per second, and hyperspectral images—eliminating the need for multiple missions and ensuring unprecedented efficiency and data consistency for global surveying and mapping professionals.

Core Advantages

Internationally Pioneered · Multi-Source Synchronization：The world's first integrated multi-source data acquisition technology, synchronously capturing hyperspectral, true-color, LiDAR point cloud, and 3D tilted data in one flight, avoiding repeated operations and significantly improving data acquisition efficiency and consistency.

Ultra-High Precision · Outstanding Performance：Equipped with the AP60 POS system, featuring vertical error <0.02m and horizontal error <0.05m; the vertical accuracy of point clouds reaches a root mean square error (RMSE) of only 0.058m at 1500m flight altitude in Nanjing test area, and the aerial triangulation check point error is ≤0.079m for 1:500 scale in Changzhou, meeting high-precision surveying and mapping standards.

High-Definition Imaging · Detailed Presentation：The nadir module delivers 284MP single images and the tilted module 150MP, combined with 3.76μm high-sensitivity pixels and 83dB high signal-to-noise ratio, capturing fine ground features clearly; the hyperspectral module with resolution better than 5nm accurately identifies material spectral characteristics.

Efficient Adaptation · Flexible Operation：Compatible with multiple flight platforms, the LiDAR module captures 2 million points per second, and the system frame rate reaches 2fps, enabling large-area coverage in a single flight; supports quick storage replacement to meet long-term continuous operation needs.

Data Fusion · Value Multiplication：Multi-source data synchronization is better than 1ms, with strong consistency and correlation, which can be directly used for fusion analysis without complex registration, providing complete data support for realistic 3D modeling, ground object classification, and resource exploration.

Stable & Reliable · Environmentally Adaptable：Operating temperature range of -5℃~40℃ and storage temperature of -10℃~55℃, adapting to different climatic conditions; modular design and multiple protection mechanisms ensure equipment stability and data security in complex operating environments.

Primary Application Fields

Digital Twin & Smart City Development: Creates high-fidelity, semantically rich 3D city models by seamlessly combining classified point clouds with textured mesh from oblique imagery, forming the essential spatiotemporal information cloud platform for urban management.

Precision Agriculture & Forestry Management : Utilizes hyperspectral data for crop health analysis and LiDAR for canopy structure and biomass estimation, enabling data-driven decisions for sustainable resource management.
Infrastructure Inspection & Corridor Mapping：Ideal for efficient, comprehensive surveys of power lines, railways, highways, and pipelines. It captures everything from terrain and vegetation encroachment (LiDAR) to asset condition (imagery) in a single pass.

Large-Scale Topographic Mapping & Base Mapping : Dramatically accelerates the production of high-accuracy Digital Elevation Models (DEM), Digital Surface Models (DSM), and true orthophoto maps (DOM) for national and regional surveying projects.

Natural Resource Monitoring & Environmental Protection : Provides a comprehensive toolkit for monitoring mining activities, managing water resources, assessing ecological changes, and supporting environmental impact studies.