中文摘要：

遥感图像具有多时相、多语义、多波段等特点,鉴于遥感图像在商业行业及国防军事中的重要性,海量遥感图像密文检索的效率和精度直接影响了遥感大数据使用的广泛性和实时性.对密文存储的遥感大数据的安全检索,是其可用性最重要的标志之一.提出了一种基于Henon映射的遥感图像可搜索加密方案,根据遥感图像的成像原理及多波段特征,采用改进的Henon映射对每个波段的灰度值进行加密处理.同时,根据遥感图像的＂大数据＂特征,通过统计灰度值的区间信息来构造遥感图像的特征向量,并根据相似度匹配算法来检索目标图像.通过对Landsat 8遥感图像进行加密与检索进行实验,结果表明,该方案有效地提高了检索密文遥感图像的安全性及准确性,且计算复杂度低、通信成本开销小.

英文摘要：

Remote sensing image has the characteristics of multi-temporal, multi-semantic and multi-spectral, and it plays an important role in different industries and military. It is a significant issue that the efficiency and accuracy of ciphertext query on the huge amounts of remote sensing image have direct impact on the remote sensing big data in its general applicability and real-time performance. For ciphertext, secure-retrieval on remote sensing big data is one of the important standards on the usability of remote sensing image. This paper first proposes an encryption/query scheme on remote sensing image including encryption algorithm and query algorithm, and then constructs an image query scheme on the encrypted remote sensing image based on the improved Henon mapping. Based on the imaging principle and multi-band remote sensing image characteristics, the paper takes the improved Henon mapping technique to encrypt the gray value of remote sensing image for each band. According to the characteristics of ＂remote sensing big data＂, the process extracts the feature vector by the statistical gray values for each band, and then queries the target remote image based on matching algorithm. Finally, experiments are carried out on encrypting and processing the big data of Landsat 8 remote sensing satellites, the experimental results show that the presented algorithms effectively improve the security and accuracy on the usage of remote sensing image. Meanwhile, the scheme has a low computational complexity and communication cost.