会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 9. 发明专利
    • DE1023686T1
    • 2001-07-05
    • DE98912673
    • 1998-03-26
    • AG CHEM EQUIPMENT CO
    • MCQUINN E
    • A01B79/00A01C15/00A01C23/00A01M7/00G06F165/00B05B12/00
    • An improved mobile agricultural products application system including a multi-variable rate dispensing system particularly adaptable for use in site-specific farming, wherein selected discrete crop input delivery information unique to selected on-board crop input storage devices, and/or crop input transport systems, and/or crop input dispensing points is combined with anticipated field reference point data obtained with a machine positioning system, e.g. "Dead Reckoning", GPS, and/or radar, and a computer, to direct independent functioning of selected on-board storage devices, material transport systems, crop input release mechanisms and/or dispensing point mechanisms to ensure stored crop inputs are released and combined to vary a prescription of delivered crop inputs in a direction substantially transverse to the direction of machine travel as the crop input applicator machine(s) travels over a predetermined geographic land area. The improved system can selectively and exclusively accommodate precise application of seeds, or can optionally accommodate seed application in combination with other crop inputs. The multi-variable rate dispensing system provides environmental advantages to all through enhanced resource management by more accurately and precisely placing crop inputs resulting in a significant reduction in wasted resources.
    • 10. 发明专利
    • Scene recognition system and method employing low and high level feature processing
    • IL100104A
    • 1996-06-18
    • IL10010491
    • 1991-11-20
    • HUGHES AIRCRAFT CO
    • F42B15/01G01S3/782G01S3/786F41G7/22G06K9/68H04N7/18G06F165/00G06K9/48G01S17/66
    • A scene recognition system and a method employing low and high level feature processing are disclosed. Image data is processed by a low level feature detection processor (31) that extracts low level features from an image. This is accomplished by converting a matrix of image data into a matrix of orthogonal icons that symbolically represent the image scene using a predetermined set of attributes. The orthogonal icons serve as the basis of processing by means of a high level graph matching processor (37) which employs symbolic scene segmentation, description, and recognition processing that is performed subsequent to the low level feature detection. This processing generates attributed graphs representative of target objects present in the image scene. High level graph matching compares predetermined attributed reference graphs (36) to the sensed graphs (35) to produce a best common subgraph between the two (35, 36) based on the degree of similarity between the two graphs (35, 36). The high level graph matching (37) generates a recognition decision based on the value of the degree of similarity and a predetermined threshold. The output of the high level graph matching (37) provides data from which a target aimpoint is determined, and this aimpoint is coupled as an input to a missile guidance system (24) that tracks identified targets.