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RSIDEA Research Field —— Review |
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The research group carried out basic theoretical research on the three aspects of hyperspectral remote sensing information processing, high-resolution remote sensing image understanding, geo-interpretation of multi-source remote sensing data, and the geometric and physical properties of surface matter, and ultimately applied to urban / agricultural / emergency and other fields. |
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| Hyperspectral Remote Sensing Information Processing | |||||||||
Hyperspectral refers to the remote sensing science and technology with high spectral resolution. Its imaging spectrometers can obtain the dozens to hundreds of narrow band spectrum information of each pixel, and form a complete and continuous spectral curve. Different objects have the unique spectral curves owing to their physical and chemical characteristics. Therefore, spectral and spatial information are observed at the same time in hyperspectral remote sensing imagery, realizing the detailed classification of proerty information of objects. With the development of hyperspectral remote sensing image resources, high spectral remote sensing has been widely used in urban, agricultural, mineral, Marine and atmospheric fields. Based on the exiting hyperspectral platforms at home and abroad, the hyperspectral research team in this group ● facing new observation methods such as GF-5, UAV hyperspectral, deep space hyperspectral, etc ● researching theory and applicaton methods of the full spectrum hyperspectral remote sensing information processing ● building full spectrum hyperspectral remote sensing observation platforms covering "visible-near-infrared-thermal infrared" ● forming information processing systems including "feature selection representation-pixel detailed classification-mixed pixel analysis" ● application detailed classification of crops, surface coverage mapping, deep space exploration analysis |
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| High-resolution Remote Sensing Image Understanding | |||||||||
| High-resolution remote sensing can measure the earth at meters or even sub-meter spatial resolution. The high spatial resolution remote sensing image can clearly express the spatial structure and surface texture of the target object, and distinguish the interior fine composition, edge information is also more clear, provides the conditions and basis for the effective interpretation of geography. With the high-resolution remote sensing image resources increasingly rich, high-resolution remote sensing have achieved rapid development in the mapping, urban planning, transportation, water conservancy, agriculture, forestry, environmental resources monitoring and other fields. Our high-resolution remote sensing research team has been based on high-resolution platform at home and abroad. |
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| Multi-source Remote Sensing Geological Interpretation | |||||||||
| Multi-source remote sensing data geoscience interpretation refers to the multi-source remote sensing data containing the same target or scene, the time-space-spectrum complementary data according to certain rules to obtain more accurate, complete and effective information than any single data. Through specific ways and technical methods, we can transfer the ground information and play the role of interpretation of remote sensing image. It’s also necessary to get the component and connotation of the ground object in order to obtain a comprehensive and full description of the target or scene. With the increasingly ways of remote sensing data acquisition, multi-source remote sensing data geography interpretation has been widely used in the geological, urban, agricultural, ecological and other fields. Based on the existing multi-source remote sensing information fusion, our team is ● Using High-resolution, high-resolution, thermal infrared, vector data and other multi-source remote sensing data based on satellite and UAV platforms ● Studying Multi - source remote sensing data geography interpretation theory and application method ● Raising Multi-source Remote Sensing Information Automatic Integrated Processing Scheme of "Geometric Radiation Preconditioning-Multi-source Data Fusion Based on Intelligent Computing and Optimization-Multi-source Remote Sensing Image Change Detection" ● Building Information Processing System of "Multi-source remote sensing data fusion classification, multi-target intelligent optimization and evolutionary computation, multi-source remote sensing image change detection" ● Applying Urban remote sensing data analysis and application, agricultural remote sensing information processing, multi-source remote sensing image target detection |
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| Urban/Agriculture/Emergency Application | |||||||||
| ● Assessment of the total primary productivity of crops ● Monitoring of the diseases and insect pests of crops ● Monitoring of the diseases and insect pests of crops ● Analysis of the stress index of crops (waterlogging, soil pollution, extreme weather, etc) ● Urban remote sensing |
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