Network Robot Tractors Associating with Human

农业遥感通常使用宽带多光谱图像，其光谱范围从可见光到近红外。卫星成像系统具有明显的缺点，即图像采集和最终使用之间的时间延迟较大。由于卫星的重复周期，利用卫星图像重新检查一个地区往往需要比预期更多的时间；特别是在利用遥感评估生菜等短熟作物的状况时。除了时间分辨率不理想外，卫星图像的空间分辨率也相对较差。大气中的水蒸气经常影响入射到传感器的视光谱辐射；因此，在多云或阴天条件下往往不可能使用遥感信息。为了解决这些问题，我们开发了一种基于无人直升机的遥感系统，作为作物状态监测的工具。它们可以为与其他遥感方法有关的缺点提供重要的解决办法。直升飞机能补偿由于低空飞行能力而造成的空间分辨率的缺乏。此外，直升机遥感系统具有很高的时效性价值。此外，还开发了三维图像映射算法。作为综合遥感系统的一种应用，研制了小麦成熟度预测联合收获系统。在“德胜”地区进行了现场试验，证明了该系统的有效性。

Agricultural remote sensing typically uses broadband multi-spectral images, which have a spectral range from visible to near infrared. A satellite imaging system has the distinct disadvantage of a large time delay between image acquisition and end use. Re-examination of a field using satellite imagery often requires more time than what is desired due to the repeat cycle of the satellite ; particularly when using remote sensing to assess the condition of short maturity crops such as lettuce. In addition to the temporal resolution being less than desirable, the spatial resolution of satellite images is relatively poor. Water vapor in the atmosphere often affects the apparent spectral radiance incident at the sensor ; consequently, it is often impossible to use remote sensing information in cloudy or overcast conditions. To solve these problems, we developed a remote sensing system based on an unmanned helicopters as a tool for crop status sensing. They can offer significant solutions to the drawbacks associated with other remote sensing methods. The helicopter can compensate for the lack of spatial resolution due to its capacity for low altitude flight. In addition, helicopter-base remote sensing systems could have a high timeliness value. In addition, the 3-D image mapping algorithm was also developed. As an application for the integrated remote-sensing system, a combine-harvesting system by estimating wheat maturity has been developed. Effectiveness of the system was proved by conducting a field test in "Tokachi" area.