为了突出目标在多光谱遥感图像中的信息, 克服由阈值法所带来的人为误差, 提出了一种突出遥感目标信息的方法。 利用光谱能级匹配法提取目标在图像中的相似度, 并将其作为目标信息波段加入到原始数据中去, 进行波段归一化处理, 以减少不同波段数据的量纲或数量级的影响, 进行MNF变换并合成RGB假彩色图像。 以新疆哈图地区的重点成矿岩性——凝灰质粉砂岩为例, 进行重点目标突出的结果表明, 信息增强后的图像颜色更加丰富, 与原始假彩色合成图像相比, 可以识别出更多的岩石类型, 比原始图像的MNF变换划分出更多地物类型。

In order to highlight target in multispectral remote sensing and overcome the human error caused by threshold, a new method is proposed here. Image of target similarity is firstly calculated by spectral energy level matching (SEM) algorithm and as a band added to original image; Then, band normalization is performed on the new image to reduce the effects caused by the order of magnitude in different bands; Finally, a false color image that highlights the target is made by RGB composed of the first three bands (3, 2, 1) in MNF transformation. Results from the experiment of highlighting the main rock-type tuffaceous siltstone in Hatu area, Xinjiang province, China show that (1) the new method can highlight target for the increment of target’s information and weights during the process of transformation by adding a band representing target’s similarity to the original image. Therefore, it overcomes the shortcomings existing in the common transformations on space information-although different objects corresponding to special information space are distinguished, targets the authors wanted can not be highlighted yet; (2) The new method can distinguish more objects than original maximum noise fraction (MNF) transformation because it unifies the tone for the same object’s type by suppressing none target information using SEM method; (3) In addition to highlighting tuffaceous siltstone in the study area, the new method can be used widely in other fields such as soil, concrete, altered mineral etc.