Camouflage Image-spectrum Unity Design Based on Stable Diffusion Integrated with Iterative Material Spectra

XU Chen, TANG Chaoying, JIANG Xiaobing, SUN Ruiqi, Li Yumeng, YAN Junhua, GUO Tengchao, ZHANG Weigang, TANG qi

Packaging Engineering ›› 2026, Vol. 47 ›› Issue (11) : 291-300.

PDF(4248 KB)
PDF(4248 KB)
Packaging Engineering ›› 2026, Vol. 47 ›› Issue (11) : 291-300. DOI: 10.19554/j.cnki.1001-3563.2026.11.030
Equipment Protection

Camouflage Image-spectrum Unity Design Based on Stable Diffusion Integrated with Iterative Material Spectra

  • XU Chen1*, TANG Chaoying2a, JIANG Xiaobing3, SUN Ruiqi2b, Li Yumeng2b, YAN Junhua2b, GUO Tengchao4, ZHANG Weigang5, TANG qi3
Author information +
History +

Abstract

The work aims to propose a "spectrum-pattern integration" camouflage design method that fuses AI-generated imagery with material spectral characteristics to enhance multimodal concealment against visible-NIR detection. Stable Diffusion (SD) was employed to generate tricolor camouflage patterns, with optimal designs selected via comprehensive similarity assessment. Material spectral properties were iteratively optimized under fixed patch-size constraints, yielding 1 m × 1 m camouflage standard panels. Hyperspectral data (400-1 000 nm) were acquired via UAV at 50 m altitude; 400-700 nm reflectance curves were extracted and inverted to optical images. Spectral similarity was quantified using correlation coefficients, and camouflage effectiveness was objectively validated through YOLOv12 target detection. Results demonstrated that the integrated strategy achieved high spectral conformity with grass backgrounds in the 400-700 nm range, with strong consistency between spectral metrics and YOLOv12 detection performance, fully verifying the effectiveness of this method. This approach effectively counters combined visible-hyperspectral threats, offering a novel ideas and technical pathway for integrated spectrum-pattern camouflage design under the condition of multi-mode detection of spectra.

Key words

stable diffusion (SD) / iterative material spectral design / YOLOv12 detection model / comprehensive similarity evaluation

Cite this article

Download Citations
XU Chen, TANG Chaoying, JIANG Xiaobing, SUN Ruiqi, Li Yumeng, YAN Junhua, GUO Tengchao, ZHANG Weigang, TANG qi. Camouflage Image-spectrum Unity Design Based on Stable Diffusion Integrated with Iterative Material Spectra[J]. Packaging Engineering. 2026, 47(11): 291-300 https://doi.org/10.19554/j.cnki.1001-3563.2026.11.030

References

[1] LIU Y, WANG C Q, ZHOU Y J.Camouflaged People Detection Based on a Semi-Supervised Search Identification Network[J]. Defence Technology, 2023, 21:176-183.
[2] CHENG C Y, LIU J C, WANG F Q, et al.Photonic Structures in Multispectral Camouflage:From Static to Dynamic Technologies[J]. Materials Today, 2025, 85:253-281.
[3] 余松林, 陈玉华, 何鹄, 等. 基于颜色聚类的光学伪装效果评估背景选取方法[J]. 兵工学报, 2021, 42(3):617-624.
YU S L, CHEN Y H, HE H, et al.Background Selection Method of Optical Camouflage Effect Evaluation Based on Color Clustering[J]. Acta Armamentarii, 2021, 42(3):617-624.
[4] HE Z X, GAN Y Y, MA S X, et al.Evaluation Method for the Hyperspectral Image Camouflage Effect Based on Multifeature Description and Grayscale Clustering[J]. EURASIP Journal on Advances in Signal Processing, 2023, 2023(1):11.
[5] 喻钧, 双晓. 仿造数码迷彩的设计方法[J]. 应用科学学报, 2012, 30(4):331-334.
YU J, SHUANG X.Design of Imitation Digital Camouflage[J]. Journal of Applied Sciences, 2012, 30(4):331-334.
[6] XUE F, XU S, LUO Y T, et al.Design of Digital Camouflage by Recursive Overlapping of Pattern Templates[J]. Neurocomputing, 2016, 172:262-270.
[7] GONG Y M, WANG H B, LUO J X, et al.Research Progress of Bioinspired Structural Color in Camouflage[J]. Materials, 2024, 17(11):2564.
[8] LU H P, BAI X Z, WANG Z X, et al.Hyperspectral Camouflage Coating Using Palygorskite to Simulate Water Absorption of Healthy Green Leaves[J]. Materials Science in Semiconductor Processing, 2023, 156:107293.
[9] 徐晨, 苗珊珊, 张伟刚, 等. 基于绿色植被同色同谱的高光谱填料及性能研究[J]. 包装工程, 2025, 46(17):51-57.
XU C, MIAO S S, ZHANG W G, et al.Research on Hyperspectral Filler and Its Performance Based on Green Vegetation with the Same Color and Spectrum[J]. Packaging Engineering, 2025, 46(17):51-57.
[10] LI Y R, WANG F Q, ZHANG A Y, et al.Performance of the Multilayer Film for Infrared Stealth Based on VO2 Thermochromism[J]. Journal of Thermal Science, 2024, 33(4):1312-1324.
[11] DENG Z C, SU Y R, QIN W, et al.Nanostructured Ge/ZnS Films for Multispectral Camouflage with Low Visibility and Low Thermal Emission[J]. ACS Applied Nano Materials, 2022, 5(4):5119-5127.
[12] WU Q F, ZHANG R, ZHANG J T, et al.Sprayed AgNWs Interfacial Engineering Enabling Hyperspectral-Infrared Compatible Camouflage in Biomimetic Bilayer Coatings[J]. Journal of Colloid and Interface Science, 2026, 702:138813.
[13] QING X L, WENG X L, YUAN L, et al.Hyperspectral Camouflage with an Inorganic Coating Mimicking Vegetation in the 1.5-1.8 Μm Spectral Window[J]. Infrared Physics & Technology, 2026, 152:106246.
[14] HUPEL T, STÜTZ P. Adopting Hyperspectral Anomaly Detection for near Real-Time Camouflage Detection in Multispectral Imagery[J]. Remote Sensing, 2022, 14(15):3755.
[15] WANG X H, WANG Y H, MU Z H, et al.UFBSM:Unmixing Fusion and Background Sparse Dictionary Model for Hyperspectral Anomaly Detection[J]. International Journal of Remote Sensing, 2024, 45(11):3541-3559.
[16] LI Z, WANG L, LIU X, et al. Brochosome-Inspired Binary Metastructures for Pixel-by-Pixel Thermal Signature Control[J]. Science Advances, 2024, 10(9):eadl4027.
[17] ZHU R X, ZHU H Z, QIN B, et al.Digital Camouflage Encompassing Optical Hyperspectra and Thermal Infrared-Terahertz-Microwave Tri-Bands[J]. Nature Communications, 2025, 16:8112.
[18] HUANG F, YANG G H, CHEN J, et al.Semantic Segmentation of Camouflage Objects via Fusing Reconstructed Multispectral and RGB Images[J]. Defence Technology, 2025, 50:324-337.
[19] LYU X, REN X.Inverse Design of Composite Materials based on Latent Space and Bayesian Optimization[J]. Computer Modeling in Engineering & Sciences, 2026, 146(1):1-11.
[20] 徐晨. 融入视觉感知特性的迷彩伪装设计和评价方法研究[D]. 南京:南京航空航天大学, 2023.
XU C.Research on Camouflage Design and Evaluation Methods Based on Human Visual Perception[D]. Nanjing:Nanjing University of Aeronautics and Astronautics, 2023.
[21] 钱淇. 基于绿色植被背景的多频谱兼容隐身方法及材料制备研究[D]. 南京:南京航空航天大学, 2023.
QIAN Q.Research on Multi Spectrum Compatible Stealth Method and Material Preparation Based on Green Vegetation Background[D]. Nanjing:Nanjing University of Aeronautics and Astronautics, 2023.
[22] INAMDAR D, LEBLANC G, SOFFER R J, et al.The Correlation Coefficient as a Simple Tool for the Localization of Errors in Spectroscopic Imaging Data[J]. Remote Sensing, 2018, 10(2):231.
[23] BINGYAN C, LIU Z, YANG Q.UAV-YOLO12:A Multi-scale Road Segmentation Model for UAV Remote Sensing Imagery[J]. Drones, 2025, 9(8):533.
[24] AL RABBANI ALIF M, HUSSAIN M. YOLOv12:A Breakdown of the Key Architectural Features[EB/OL].2025:arXiv:2502.14740. https://arxiv.org/abs/2502.14740
[25] SHA H, CERPENTIER J, et al.Spectral Reflectance Imaging with Dual-Illumination and RGB Camera via Regularized End-to-End Learning[J]. Optics Express, 2025, 33(21):44191.
[26] WEI C N, LI J F, LIU S W.Applications of Visible Spectral Imaging Technology for Pigment Identification of Colored Relics[J]. Heritage Science, 2024, 12:321.
PDF(4248 KB)

Accesses

Citation

Detail

Sections
Recommended

/