In What Fields Can the Aims Multi-modal Aerial Camera Be Applied?

Jun 08, 2023

Based on the Aviation Integrated Multi-Sensor (AIMS) independently developed by Feiyan Aviation Remote Sensing Technology Co., Ltd., it can produce conventional 4D products and real-world 3D models. Combined with the penetration of active detection of lidar, the three-dimensional geographic coordinates and the cube characteristics of hyperspectral images can be obtained directly, and the data can be finely classified. It can automatically distinguish the real surface, water system, forest, building, road and other information, so as to express and analyze the 3D reality scene more finely.

3D terrain mapping

After the vegetation is removed, the real surface conditions that cannot be accurately detected by conventional means can be seen to form a digital elevation model (DEM). Through the algorithm, the terrain can be expressed in vector form, the vector data can be seamlessly combined with the 3D terrain, and the building can also realize automatic model building. These products are all based on the same data source, so there will be no conflict in the relationship between different types of data. This is also the biggest advantage that the AIMS aerial camera, as an integrated device, can obtain synchronously.

Urban Unit Modeling

The data obtained from the point cloud in the lidar aerial photography can be used to automatically classify the point cloud of the information on buildings, vegetation, ground surfaces and roads, and the classification results can form a three-dimensional building single white model. After pasting the surface color and texture, the final three-dimensional single building product is formed, which is used as a base map in smart cities, smart parks and other fields.

Forestry census

Hyperspectral aerial photography can be used to assist forest resource management. The height and crown width of trees are calculated by laser point cloud, and the growth of trees is monitored and widely used in forest resource surveys; by filtering out the influence of terrain, it is possible to judge artificial forests, economic forests, and natural forests based on the height and distribution of vegetation The difference between forests, so as to count the conventional two-dimensional greening rate, and even count the three-dimensional three-dimensional green quantity.

Geological disasters

Based on the real surface and real 3D results, it can be effectively used for disaster prevention and mitigation, especially for detecting road slopes, monitoring slope changes, etc., and ultimately preventing natural disasters.

precision agriculture

Hyperspectral aerial photography data can be used to detect soil fertility, diseases and insect pests, etc.; combined with lidar data, crop height and density can be extracted for further analysis and judgment.

Hyperspectral aerial photography data has an efficient application value for the monitoring of algal blooms, black and odorous water bodies, sewage outlets, and traceability of pollutants.