Hu Shuowen, Young S Susan, Hong Tsai, Reynolds Joseph P, Krapels Keith, Miller Brian, Thomas Jim, Nguyen Oanh
Army Research Laboratory, 2800 Powder Mill Road, Adelphi, Maryland 20783, USA.
Appl Opt. 2010 Feb 10;49(5):772-80. doi: 10.1364/AO.49.000772.
Flash ladar systems are compact devices with high frame rates that hold promise for robotics applications, but these devices suffer from poor spatial resolution. This work develops a wavelet preprocessing stage to enhance registration of multiple frames and applies super-resolution to improve the resolution of flash ladar range imagery. The triangle orientation discrimination methodology was used for a subjective evaluation of the effectiveness of super-resolution for flash ladar. Results show statistically significant increases in the probability of target discrimination at all target ranges, as well as a reduction in subject response times for super-resolved imagery.
闪光激光雷达系统是具有高帧率的紧凑型设备,在机器人应用方面具有潜力,但这些设备的空间分辨率较差。这项工作开发了一个小波预处理阶段来增强多帧配准,并应用超分辨率来提高闪光激光雷达距离图像的分辨率。采用三角形方向判别方法对闪光激光雷达超分辨率的有效性进行主观评估。结果表明,在所有目标距离上,目标识别概率在统计上都有显著提高,并且超分辨率图像的受试者响应时间也有所减少。