In view of the fact that there always exist problems in the present large scale discovery of IPv6 backbone network topology such as low efficiency and short of coverage rate,this paper brought forward a network topology discovery scheme on choosing the probing target by self-learning,which was based on ICMPv6.

Design and application of same distribution test for target detection accuracy;

Application of new texture analysis algorithm in target detection;

Design and application of target detection range related analysis;

Romote sensing technical method of wide band or high spectrum is described briefly and the research and applying status of subpixel,low probability and object detection are introduced.

Millimeter wave object detection makes use of the electromagnetic thermal emission of the subject and reflected thermal signals from the background, millimeter wave object detection, in comparison to visible or infrared object detection, has great potential advantage of detection through fog、cloud、smoke、sandstorms and other poor weather conditions.

Compared with microwave,millimeter wave s wavelength is shorter,as antenna apeture size is assigned,its beam-width is narrower and its gain higher,the microwave sensor imaging system has better resolution rate and precision when it is used in target detecting and identification.