2 Adaptive Multisensor Target Detection
We present a multisensor target detection technique in which the four features are extracted from the multisensor images and adaptively weighted via a feature-based fusion method. Figure 1 shows a block diagram of the technique. Each functional component is described in this section.

2.1 Multisensor Image Sequences
Two different imaging sensors are used--a long-wave IR (8 to 12 um) sensor and a high-resolution charge-coupled device (CCD) TV camera. IR and TV sequences were recorded and digitized. Figures 2 and 3 show sample images of each sequence. The images are quite distinguishable from each sequence. The images are quite distinguishable from each other due to the different spectral characteristics of the imaging sensors. For both image types, because of the difference in spectral reflectivity (TV images) or thermal radiation (IR images) between the targets and backgrounds, the target regions display distinguishable intensity variations and distributions as well as average intensity levels from those of the neighboring background regions.

2.适用于综合性传感器目标探测
我们提供了一个综合性(多功能)传感器探测范围技术,其中四项特性由综合传感器成像中筛选而出,并且适合采用一种熔断(一种关闭保险)方式的基本特性。图表1展示了这种技术的结构图。这一部分主要描述了各项功能的构成情况。

2.1综合性成像技术
两种不同成像传感器均采用一种长波IR传感器(8到12 um)和一种高分辩率的电视摄像负荷连接装置。长波（IR成像）与电视（TV）的片断被记录并做数字化处理。
图表2和图表3表示了每个成像的片断。成像的每个片断十分清晰。成像相互之间十分清晰取决于成像传感器的不同的光谱特性。两种成像类型原于(电视成像)或热辐射（IR成像）之间的取景目标和背景光谱反射率的不同, 探测目标区域显示分辨率强度变化，同时探测目标区域也显示了从邻近背景区域中的这些平均亮度水平的分布。