###### Abstract  
Hyperspectral remote sensing (RS) has rapidly developed in recent years and has been widely used in the military field. This technology not only brings huge opportunities for military reconnaissance but also poses unprecedented challenges to military camouflage, severely complicating the development of plant hyperspectral camouflage materials and technology. In this review, the spectral reflectance characteristics of plants and the application of hyperspectral RS in plant RS and military operations are reviewed. The development status of bionic camouflage materials that simulate the spectral reflection characteristics of plants is analyzed. With the existing hyperspectral camouflage materials and technology, bionic camouflage technology is limited by the inability of bionic materials to accurately imitate the characteristic absorption peaks of green vegetation, low stability and durability, and the large overall material thickness, which complicate actual large-scale application. On this basis, a future development direction and a trend of plant hyperspectral bionic camouflage materials and technology are proposed. plants; bionic camouflage; spectral reflection; hyperspectral; camouflage materials and technology +
Footnote †: journal: Applied Sciences  
Then it analyzes the spectral differences between the camouflage stealth materials and the background (natural vegetation), clarifies the spectral performance and generation mechanism of such difference, and monitors these characteristic bands purposefully [3; 4; 5; 6]. Thereby, it distinguishes the real camouflaged target in the green vegetation background after camouflage and stealth and detects and identifies the current camouflage stealth target, which poses a serious threat to ground military targets [7; 8; 9]. The process of obtaining hyperspectral data images of vegetation targets is shown in Figure 1. While imaging vegetation targets, the hyperspectral sensor records data from hundreds of spectral bands to obtain a hyperspectral data cube containing two-dimensional spatial information and one-dimensional spectral information. The data cube is composed of images from different spectral bands stacked in wavelength order. Extracting spectral information for each pixel in the data cube and comparing it with typical vegetation spectra in the spectral database can confirm the vegetation target type. Natural vegetation composed of plants is one of the typical ground background environments for camouflaged targets and has become the focus of hyperspectral detection. The tissue structure and material composition of plants are inevitably related to their spectral reflection characteristics. The design and preparation of plant-imitating camouflage materials cannot copy the material composition and structure of plants. Structural design and material preparation must be carried out with reference to the main factors that affect the reflection spectra of leaves. Therefore, to achieve hyperspectral camouflage in the context of plants, researchers must develop bionic camouflage materials that can imitate the spectral reflection characteristics of plants, so as to resist hyperspectral detection in the context of plants [10; 11]. At present, some scholars have been studying camouflage materials that imitate the spectral reflection characteristics of plants and applying them in military applications. These technologies are actually the intersection and combination of bionic technology with science and technology, such as chemistry and materials [11; 12; 13; 14; 15; 16; 17]. In this review, the spectral reflection characteristics of plants and the application of hyperspectral RS in plant RS and military operations are summarized, and the development status of bionic camouflage  
Figure 1: High spectral imaging detection technology for green vegetation background. materials that simulate the spectral reflection characteristics of plants is analyzed.