陈鹏 , 宋愿赟 , 李文静 , 等 . 临近空间高速侦察与监视载荷技术研究综述 [J ] . 战术导弹技术 , 2021 ( 1 ): 7 - 12 .

CHEN P , SONG Y Y , LI W J , et al . Review of high speed reconnaissance and surveillance payload technology in near space [J ] . Tactical Missile Technology , 2021 ( 1 ): 7 - 12 . (in Chinese)

XUE F , WU F , WANG J W , et al . Camouflage texture design based on camouflage performance evaluation [J ] . Neurocomputing , 2018 , 274 ( 24 ): 106 - 114 . DOI: 10.1016/j.neucom.2016.07.081 http://doi.org/10.1016/j.neucom.2016.07.081 https://linkinghub.elsevier.com/retrieve/pii/S0925231217306732 https://linkinghub.elsevier.com/retrieve/pii/S0925231217306732

贾其 , 吕绪良 , 吴超 , 等 . 人眼视觉注意机制用于伪装效果评价 [J ] . 应用科学学报 , 2011 , 29 ( 3 ): 294 - 298 .

JIA Q , LÜ X L , WU C , et al . Evaluation of camouflage effectiveness using human visual attention mechanism [J ] . Journal of Applied Sciences , 2011 , 29 ( 3 ): 294 - 298 . (in Chinese)

邓建军 , 高峰 , 张琳 . 基于减小观测距离的光学伪装效果等效检测 [J ] . 探测与控制学报 , 2012 , 34 ( 3 ): 19 - 22 .

DENG J J , GAO F , ZHANG L . Equivalent test of optical camouflage effectiveness by reducing observation distance [J ] . Journal of Detection & Control , 2012 , 34 ( 3 ): 19 - 22 . (in Chinese)

崔宝生 , 薛士强 , 姬艳军 , 等 . 图像特征的伪装效果评估技术 [J ] . 红外与激光工程 , 2010 , 39 ( 6 ): 1178 - 1183 .

CUI B S , XUE S Q , JI Y J , et al . Camouflage effectiveness evaluation based on image feature [J ] . Infrared and Laser Engineering , 2010 , 39 ( 6 ): 1178 - 1183 . (in Chinese)

王展 , 颜云辉 , 焦学勇 . 基于灰色理论的迷彩伪装多指标综合评价 [J ] . 兵工学报 , 2013 , 34 ( 10 ): 1250 - 1257 . DOI: 10. 3969/ j. issn. 1000-1093. 2013. 10. 009 http://doi.org/10. 3969/ j. issn. 1000-1093. 2013. 10. 009 为了解决现有迷彩伪装评价方法评价指标单一,评价结果缺乏客观性的问题,提出了一 种具有多项伪装评估指标并基于灰色聚类理论的综合评价方法。该方法根据评价的目的和对象综 合选取了亮度对比、颜色特征、纹理特征、边缘形状和斑点尺寸这5 项评价参数作为评价体系的指 标;运用熵权法来确定各指标值的影响权值;利用灰色聚类决策评估算法对不同的迷彩伪装效果进 行综合评估。通过在同一个背景下对不同迷彩设计方案进行的评估实验,其结果证明该方法对伪 装效果的评估是合理有效的,并且可以作为一种客观、可靠的综合伪装评价技术。

WANG Z , YAN Y H , JIAO X Y . Multi-index comprehensive evaluation of camouflage based on gray theory [J ] . Acta Armamentarii , 2013 , 34 ( 10 ): 1250 - 1257 . (in Chinese) DOI: 10. 3969/ j. issn. 1000-1093. 2013. 10. 009 http://doi.org/10. 3969/ j. issn. 1000-1093. 2013. 10. 009 In order to solve the problems of that the camouflage evaluation index is too single and the evaluated results is lack of objectivity, a new comprehensive evaluation method which uses many camouflage evaluation indexes and is based on gray clustering theory is presented. At first, according to the purpose and object of evaluation, this method selects brightness contrast, color features, texture features, edge shape and spot size as the indexes of evaluation system;Secondly, the entropy method is presented in order to solve the weight of each index under the same background; At last, the camouflage effect is comprehensively evaluated by use of grey clustering decision evaluation algorithm. The different camouflage design schemes are experimentally evaluated in the same background. The result shows that the method is an objective and reliable comprehensive camouflage evaluation technology.

邓志鹏 . 基于深度卷积神经网络的遥感图像目标检测方法研究 [D ] . 长沙 : 国防科技大学 , 2019 .

DENG Z P . Research on deep convolutional neural network based object detection methods in remote sensing images [D ] . Changsha : National University of Defense University , 2019 . (in Chinese)

胡建明 , 乔凯 , 智喜洋 , 等 . 天基观测条件下复杂环境对空中弱小目标可探测性的影响 [J ] . 红外与毫米波学报 , 2019 , 38 ( 3 ): 351 - 357 .

HU J M , QIAO K , ZHI X Y , et al . Influence of complex environment on the detectability of weak and small aerial target under space-based observation mode [J ] . Journal of Infrared and Millimeter Waves , 2019 , 38 ( 3 ): 351 - 357 . (in Chinese)

宋明珠 , 曲宏松 , 金光 . 含噪光学遥感图像海面弱小舰船目标检测 [J ] . 光学学报 , 2017 , 37 ( 10 ): 161 - 168 .

SONG M Z , QU H S , JIN G . Weak ship target detection of noisy optical remote sensing image on sea surface [J ] . Acta Optica Sinica , 2017 , 37 ( 10 ): 161 - 168 . (in Chinese)

赵晓枫 , 徐明扬 , 王聃漂 , 等 . 基于改进SSD的特种车辆红外伪装检测方法 [J ] . 红外与激光工程 , 2019 , 48 ( 11 ): 116 - 125 .

ZHAO X F , XU M Y , WANG R P , et al . Infrared camouflage detection method for special vehiclesbased on improved SSD [J ] . Infrared and Laser Engineering , 2019 , 48 ( 11 ): 116 - 125 . (in Chinese)

马世欣 , 刘春桐 , 李洪才 , 等 . 基于高光谱图像探测与感知的伪装效果评估方法 [J ] . 兵工学报 , 2019 , 40 ( 7 ): 1485 - 1494 . DOI: 10.3969/j.issn.1000-1093.2019.07.019 http://doi.org/10.3969/j.issn.1000-1093.2019.07.019 为解决高光谱侦察过程中目标的伪装评估问题，提出一种联合探测与感知的高光谱伪装效果评估方法。利用局部异常检测算子提取每个像元与周围背景的差异性指标，结合空间密度聚类和领域融合算法，分割潜在目标区域；建立反映光谱差异性和整体伪装特征的显著性指标，基于有限时间搜索策略进行高光谱伪装评估，从伪装评估指标和时间-评价分数多重角度得到伪装评估结果。仿真实验表明，该方法克服了传统基于多特征描述的评估方法评价指标单一的问题，能够较为客观和准确地给出评估结论，为目标伪装效果评估提供可靠的参考依据。

MA S X , LIU C T , LI H C , et al . Camouflage effect evaluation based on hyperspectral image detection and visual perception [J ] . Acta Armamentarii , 2019 , 40 ( 7 ): 1485 - 1494 . (in Chinese) DOI: 10.3969/j.issn.1000-1093.2019.07.019 http://doi.org/10.3969/j.issn.1000-1093.2019.07.019 For the target camouflage evaluation in hyperspectral reconnaissance, a novel evaluation method of hyperspectral camouflage effect is proposed based on detection and perception theory. The local anomaly detection operator is adopted to extract the difference value among each pixel and the surrounding pixels. On this basis, the potential target areas are acquired using the space density clustering and neighborhood fusion algorithm. The significant indicators reflecting the spectral differences and overall camouflage characteristics are established, and a new idea about hyperspectral camouflage evaluation based on the limited-time search strategy is proposed to evaluate the camouflaged targets from multiple aspects, such as search time and evaluation score. Simulated results show that the proposed method is used to overcome the problem of single evaluation index of traditional evaluation method based on multi-feature description, and give the objective and accurate evaluation conclusion. Key

常沙 , 宋彬 , 黎鑫 . 气象海洋作战仿真环境复杂性评估及分级方法 [J ] . 系统工程理论与实践 , 2021 , 41 ( 7 ): 1868 - 1881 . DOI: 10.12011/SETP2019-2146 http://doi.org/10.12011/SETP2019-2146 气象海洋作战仿真环境的影响评估是检验仿真环境与模拟训练难度一致性的关键问题.现有气象海洋作战仿真环境评估方法主要用于分析静态环境要素对武器装备、作战平台等的影响作用，不适用于对模拟训练中的动态复杂仿真环境进行综合评估.为了有效评估仿真环境的复杂程度，本文首先明确了气象海洋作战仿真环境复杂度的内涵，并对复杂度评估及分级层次结构进行了分析；然后，提出了复杂度评估指标，基于矩阵型灰色关联理论，建立了环境复杂度评估模型；随后，提出了复杂度分级原则，基于灰色聚类方法，建立了环境复杂度分级模型，并对可能度函数进行了改进，从而得到动态仿真环境的复杂度等级.通过模拟训练实例对本文方法验证，表明该方法能够对动态仿真环境复杂度等级做出合理评估，有助于构建符合模拟训练难度要求的仿真环境.

CHANG S , SONG B , LI X . Complexity evaluation and classification method of meteorology and ocean operational simulation environments [J ] . Systems Engineering-Theory & Practice , 2021 , 41 ( 7 ): 1868 - 1881 . (in Chinese)

ACHANTA R , SHAJI A , SMITH K , et al . SLIC superpixels compared to state-of-the-art superpixel methods [J ] . IEEE Transactions Pattern Analysis and Machine Intelligence , 2012 , 34 ( 11 ): 2274 - 2282 . DOI: 10.1109/TPAMI.2012.120 http://doi.org/10.1109/TPAMI.2012.120 http://ieeexplore.ieee.org/document/6205760/ http://ieeexplore.ieee.org/document/6205760/

ZHOU L , YANG Z H , ZHOU Z T , et al . Salient region detection using diffusion process on a two-layer sparse graph [J ] . IEEE Transactions Image Processing , 2017 , 26 ( 12 ): 5882 - 5894 . DOI: 10.1109/TIP.2017.2738839 http://doi.org/10.1109/TIP.2017.2738839 http://ieeexplore.ieee.org/document/8008842/ http://ieeexplore.ieee.org/document/8008842/

吴加莹 , 杨赛 , 堵俊 , 等 . 自底向上的显著性目标检测研究综述 [J ] . 计算机科学 , 2019 , 46 ( 3 ): 48 - 52 . DOI: 10.11896/j.issn.1002-137X.2019.03.006 http://doi.org/10.11896/j.issn.1002-137X.2019.03.006 文中对显著性目标检测(Salient Object Detection)领域内的国内外发展现状进行了综述。首先,介绍了显著性目标检测的研究背景和发展历程;然后,根据各个模型所使用特征的不同,分别从手工设计特征和深度学习特征这两个方面对显著性计算进行综述,在论述基于手工设计特征的显著性计算的研究进展时,将其细分为基于对比度先验的显著性计算、基于前景先验的显著性计算以及基于背景先验的显著性计算3个子类,并对每个类别中的若干典型算法的建模思路进行了描述;最后,进行分析与总结,并指出显著性目标检测领域仍需解决的问题及未来的研究方向。

WU J Y , YANG S , DU J , et al . Review of bottom-up salient object detection [J ] . Computer Science , 2019 , 46 ( 3 ): 48 - 52 . (in Chinese)

ITTI L , KOCH C , NIEBUR E . A model of saliency-based visual attention for rapid scene analysis [J ] . IEEE Transactions on Pattern Analysis and Machine Intelligence , 1998 , 20 ( 11 ): 1254 - 1259 . DOI: 10.1109/34.730558 http://doi.org/10.1109/34.730558 http://ieeexplore.ieee.org/document/730558/ http://ieeexplore.ieee.org/document/730558/

QIAN D D , ZHOU Y F , WEI Y , et al . Graph laplacian based visual saliency detection [C ] //Proceedings of the 2012 Fourth International Conference on Digital Home.Guangzhou,IEEE , 2012 : 201 - 205 .

HOU X D , ZHANG L Q . Saliency detection: a spectral residual approach [C ] //Proceedings of 2007 IEEE Conference on Computer Vision and Pattern Recognition . Minneapolis, MN, US : IEEE , 2007 : 1 - 8 .

ACHANTA R , ESTRADA F , WILS P , et al . Salient region detection and segmentation [C ] //Proceedings of International Conference on Computer Vision Systems.Berlin,Heidelberg, Germany:Springer , 2008 : 66 - 75 .

ACHATA R , HEMAMI S , ESTRADA F , et al . Frequency-tuned salient region detection [C ] //Proceedings of 2009 IEEE Conference on Computer Vision and Pattern Recognition. Miami,FL,US:IEEE , 2009 : 1597 - 1604 .

GOFERMAN S , ZELNIK-MANOR L , TAL A . Context-aware saliency detection [J ] . IEEE Transactions on Pattern Analysis and Machine Intelligence , 2011 , 34 ( 10 ): 1915 - 1926 . DOI: 10.1109/TPAMI.2011.272 http://doi.org/10.1109/TPAMI.2011.272 http://ieeexplore.ieee.org/document/6112774/ http://ieeexplore.ieee.org/document/6112774/

ACHATA R , SÜSSTRUNK S . Saliency detection using maximum symmetric surround [C ] //Proceedings of 2010 IEEE International Conference on Image Processing. Hong Kong,China:IEEE , 2010 : 2653 - 2656 .

PTRAZZI F , KRÄHENBÜHL P , PRITCH Y , et al . Saliency filters: contrast based filtering for salient region detection [C ] //Proceedings of 2012 IEEE Conference on Computer Vision and Pattern Recognition . Providence, RI, US :IEEE, 2012 : 733 - 740 .

LEE S M , XIN J H , WESTLAND S . Evaluation of image similarity by histogram intersection [J ] . Wiley , 2005 , 30 ( 4 ): 265 - 274 .

FLUSSER J , SUK T , ZITOV B . Moments and moment invariants in pattern recognition [M ] . Chichester , UK : John Wiley & Sons , 2009 .

YU H , LI M J , ZHANG H J , et al . Color texture moments for content-based image retrieval [C ] //Proceedings of 2002 International Conference on Image Processing. Rochester, NY,US:IEEE , 2002 : 929 - 932 .

EICHKITZ C G , AMTMANN J , SCHREILECHNER M G . Computation of grey level co-occurrence matrix (GLCM) attributes in single and multiple directions [J ] . First Break , 2020 , 38 ( 3 ): 57 - 62 .

WANG Z , BOVIK A C , SHEIKH H R , et al . Image quality assessment: from error visibility to structural similarity [J ] . IEEE Transactions on Image Processing , 2004 , 13 ( 4 ): 600 - 612 . DOI: 10.1109/tip.2003.819861 http://doi.org/10.1109/tip.2003.819861 Objective methods for assessing perceptual image quality traditionally attempted to quantify the visibility of errors (differences) between a distorted image and a reference image using a variety of known properties of the human visual system. Under the assumption that human visual perception is highly adapted for extracting structural information from a scene, we introduce an alternative complementary framework for quality assessment based on the degradation of structural information. As a specific example of this concept, we develop a Structural Similarity Index and demonstrate its promise through a set of intuitive examples, as well as comparison to both subjective ratings and state-of-the-art objective methods on a database of images compressed with JPEG and JPEG2000.

AHONEN T , HADID A , PIETIKAINEN M . Face description with local binary patterns: application to face recognition [J ] . IEEE Transactions on Pattern Analysis and Machine Intelligence , 2006 , 28 ( 12 ): 2037 - 2041 . This paper presents a novel and efficient facial image representation based on local binary pattern (LBP) texture features. The face image is divided into several regions from which the LBP feature distributions are extracted and concatenated into an enhanced feature vector to be used as a face descriptor. The performance of the proposed method is assessed in the face recognition problem under different challenges. Other applications and several extensions are also discussed.

燕雪峰 , 张德平 , 黄晓冬 , 等 . 面向任务的体系效能评估 [M ] . 北京 : 电子工业出版社 , 2020 .

YAN X F , ZHANG D P , HUANG X D , et al . Task-oriented system effectiveness evaluation [M ] . Beijing : Publishing House of Electronics Industry , 2020 . (in Chinese)

XIA G S , BAI X , DING J , et al . DOTA: a large-scale dataset for object detection in aerial images [C ] //Proceedings of 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Salt Lake City, UT,US:IEEE , 2018 : 3974 - 3983 .