In this research, we determined the feasibility of using a Personal Digital Assistant (PDA) as a mobile field data collection system by monitoring mapping and regressing digitized sub-meter resolution polygons of multiple, malaria, mosquito, Anopheline arabiensis s.s., aquatic, larval, habitat covariates. The system employed QuickBird raster imagery displayed on a Trimble Recon X 400 MHz Intel PXA255 Xscale CPU®. The mobile mapping platform was employed to identify specific geographical locations of treated and untreated seasonal An. arabiensis s.s. aquatic larval habitats in Karima rice-village complex in the Mwea Rice Scheme, Kenya. As data pertaining to An. arabiensis s.s. larval habitats were entered, all treated and untreated rice paddies within a 2 km buffer of the agro-village, riceland-complex, epidemiological, study site were viewed and managed on the PDA.
相对传统图像采集系统功耗和体积比较大的特点,介绍了基于XScale的图像采集与网络传输系统。该系统以IntelPXA270嵌入式微处理器为硬件核心,采用Linux嵌入式操作系统,重新编译并配置了内核,以驱动网络摄像头、图像采集卡,成功实现了基于视频接口Video for Linux Two的图像采集功能以及视频图像的网络传输,并且能够成功地在远程PC机上显示、播放,利用重建后的视频图像做图像处理和视频检测。该系统是小型无人机自主导航与控制中视觉导航以及以无人机为平台的灾害检测的基础,有广阔的应用前景。
