研究目的
To demonstrate the benefit of a second generation of hyperspectral space borne mission characterized by a high spatial resolution (8m GSD) and a high temporal revisit for urban planning and urban vegetation and biodiversity applications.
研究成果
The HYEP project has demonstrated the potential of hyperspectral data for urban applications, showing improvements in urban land cover classification and the identification of urban materials, vegetation, and solar panels. The project highlights the need for high spatial resolution hyperspectral sensors for accurate urban object characterization.
研究不足
The main limitation of hyperspectral imagery is its spatial resolution, which may not be sufficient for accurate characterization of urban objects requiring better than 5m GSD.
1：Experimental Design and Method Selection:
The project involves comparing the performance of different hyperspectral sensors for urban applications.
2：Sample Selection and Data Sources:
Airborne acquisitions over Toulouse and other cities using hyperspectral and multispectral sensors.
3：List of Experimental Equipment and Materials:
ONERA Hyspex hyperspectral camera, IGN PAN CamV2 camera, Themis Vision Systems 100T.
4：0T. Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: Simulation of space borne sensors from airborne data, atmospheric correction, and classification methods.
5：Data Analysis Methods:
Supervised and unsupervised classification, spectral unmixing, and decision fusion strategies.
独家科研数据包，助您复现前沿成果，加速创新突破
获取完整内容
