陆地资源卫星源源不断地把遥感数据传输至地面，卫星地面接收站积累了海量的卫星遥感数据。遗憾的是，由于缺乏针对遥感数据的有效的数据挖掘和知识发现技术，致使遥感数据中的绝大部分信息没有得到充分的利用。对传统的数据挖掘和知识发现技术进行技术革新和改造，研究针对多源遥感图像的数据挖掘和知识发现技术，不仅可以提高遥感解译的自动化和智能化水平，而且可最大限度地开发和利用遥感信息。为了能允分利用遥感数据，在传统数据挖掘和知识发现技术的基础上，首先探讨了遥感数据挖掘和知识发现的技术流程，然后设计了多源遥感图像数据挖掘系统框架，最后提出了多源遥感图像数据挖掘系统的原型，从而为进一步开发和研制多源遥感数据挖掘系统奠定了技术基础。

The Land Resource Satellites continuously send the remotely sensed data to the earth, so large quantity of data has been acquire by the satellite receiving ground station. Unfortunately, because of lacking the effective techniques for data mining and knowledge discovering from the polygenetic remotely sensed data, the majority of the useful information existed in the remotely sensed data not has been fully exploited. Researching the data mining and knowledge discovering technologies, especially suitable to the polygenetic remotely sensed data, through innovating and improving the traditional data mining and knowledge discovering technologies, can promote the level of automatically and intelligently interpreting the polygenetic remotely sensed data,and exploit the useful information existed in the remotely sensed data as much as possible. Basing on the traditional data mining and knowledge discovering technologies, the authors had investigated the technology flowing chart of the remotely sensed data mining and knowledge discovering procedure, and then designed the technological framework of the remotely sensed data mining and knowledge discovering system, finally proposed the prototype of the system. So the technological foundation for further developing the polygenetic remotely sensed data mining system had been established.