Denisova, Anna Y.

2024

• 1 Fedoseev V., Denisova A. A Reversible Medical Image Watermarking Scheme for Advanced Image Tampering Detection // SN Computer Science 2024. — Vol. 5. Issue 4. № 4.

2023

• 1 Gorodetskaya L.A., Denisova A.Y., Kavelenova L.M. etc. MONITORING OF REINTRODUCED RARE PLANTS USING UAV DATA // International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives. — 2023. — Vol. 48. Issue 1/W2-2023. № 1/W2-2023. — P. 1895-1900
• 2 Tarasov A.A., Denisova A.Y., Fedoseev V.A. Detection of Presentation Attacks on Facial Authentication Systems Using Intel RealSense Depth Cameras // Lecture Notes in Networks and Systems. — 2023. — Vol. 647 LNNS. — P. 1303-1314
• 3 Denisova A. Source Camera Identification Using Neural Networks // 2023 IX International Conference on Information Technology and Nanotechnology (ITNT). — 2023. —
• 4 Denisova A. Evaluation of DeepMedic Neural Network for a Region of Interest Eextraction in Medical Image Watermarking // ISDFS 2023 - 11th International Symposium on Digital Forensics and Security. — 2023. —

2022

• 1 Denisova A. An improved simple feature set for face presentation attack detection // Journal of WSCG 2022. — Vol. 2022. Issue CSRN3201. № CSRN3201. — P. 16-23
• 2 Denisova A.Y., Fedoseev V.A. Detection of presentation attacks on facial authentication systems using special devices // Computer Optics 2022. — Vol. 46. Issue 4. № 4. — P. 612-620
• 3 Fedoseev V.A., Denisova A.Yu. Reversible Fragile Medical Image Watermarking Scheme Resistant to Malicious Tampering Attacks // International Conference on Image Processing and Vision Engineering (IMPROVE). — 2022. — P. 57-65

2021

• 1 Fedoseev V., Denisova A., Kavelenova L. etc. On the possibilities of recreational impact monitoring on unique natural objects using UAVs // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
• 2 Denisova A., Fedoseev V. Presentation Attack Detection in Facial Authentication using Small Training Dataset Obtained by Multiple Devices // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
• 3 Denisova A., Chernov A. Abandoned field determination using MODIS data // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
• 4 Denisova A., Chernov A. Comparative analysis of Sentinel and MODIS data in the problem of crop classification // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —

2020

• 1 Belova O. A. , Denisova A., Vlasova N. etc. Monitoring of the recreation effects on land cover with the use of an unmanned aerial vehicle on the example of the strelnaya mountain in Samara Region // CEUR Workshop Proceedings. — 2020. — Vol. 2665. — P. 44-49
• 2 Belov A., Denisova A. Remote sensing classification using multi-sensor super-resolution algorithm // Proceedings of the 14th IADIS International Conference Computer Graphics, Visualization, Computer Vision and Image Processing 2020, CGVCVIP 2020 and Proceedings of the 5th IADIS International Conference Big Data Analytics, Data Mining and Computational Intelligence 2020, BigDaCI 2020 and Proceedings of the 9th IADIS International Conference Theory and Practice in Modern Computing 2020, TPMC 2020 - Part of the 14th Multi Conference on Computer Science and Information Systems, MCCSIS 2020. — 2020. — P. 131-140
• 3 Belov A., Denisova A. Super-Resolution Reconstruction of Remote Sensing Image Using Multi-Temporal Images with Partial Scene Distortions // Proceedings of ITNT 2020 - 6th IEEE International Conference on Information Technology and Nanotechnology. — 2020. —
• 4 Denisova A., Egorova A. A. , Sergeyev V. Forest Change Detection Using Remote Sensing Data // Proceedings of ITNT 2020 - 6th IEEE International Conference on Information Technology and Nanotechnology. — 2020. —
• 5 Belov A., Denisova A. Remote sensing data fusion algorithm for super-resolution: Multi-temporal case // Proceedings of SPIE - The International Society for Optical Engineering. — 2020. — Vol. 11524.
• 6 Belov A.M., Denisova A.Y. Earth remote sensing imagery classification using a multi-sensor superresolution fusion algorithm // Computer Optics 2020. — Vol. 44. Issue 4. — P. 627-635
• 7 Belov A.M., Denisova A.Y. Scene distortion detection on a series of multi-temporal remote sensing images of the same territory // Proceedings of SPIE - The International Society for Optical Engineering. — 2020. — Vol. 11373.

2019

• 1 Bavrina A., Denisova A., Kavelenova L. etc. Some Problems of Regional Reference Plots System for Ground Support of Remote Sensing Materials Processing // Springer Proceedings in Earth and Environmental Sciences. — 2019. — P. 131-143
• 2 Denisova A.Y., Kavelenova L.M., Korchikov E.S. etc. Tree species classification for clarification of forest inventory data using Sentinel-2 images // Proceedings of SPIE - The International Society for Optical Engineering. — 2019. — Vol. 11174.
• 3 Denisova A.Y., Egorova A. A. , Sergeyev V.V. Plant species concentration estimation using multispectral remote sensing images // Proceedings of SPIE - The International Society for Optical Engineering. — 2019. — Vol. 11174.
• 4 Denisova A.Y., Egorova A. A. , Sergeyev V.V. etc. Requirements for multispectral remote sensing data used for the detection of arable land colonization by tree and shrubbery vegetation // Computer Optics 2019. — Vol. 43. Issue 5. — P. 846-856
• 5 Belov A.M., Denisova A.Y. Algorithm for spectral-spatial remote sensing image super-resolution: Multi-sensor case // Proceedings of SPIE - The International Society for Optical Engineering. — 2019. — Vol. 11069.
• 6 Belov A.M., Denisova A.Y. Scene distortion detection algorithm using multitemporal remote sensing images // Computer Optics 2019. — Vol. 43. Issue 5. — P. 869-885
• 7 Bavrina A., Denisova A., Kavelenova L. etc. Some Problems of Regional Reference Plots System for Ground Support of Remote Sensing Materials Processing // Springer Proceedings in Earth and Environmental Sciences 2019. — P. 131-143
• 8 Denisova A.Yu., Kavelenova L.M., Korchikov E.S. etc. Tree species classification in Samara Region using Sentinel-2 remote sensing images and forest inventory data // Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa 2019. — Vol. 16. Issue 4. — P. 86-101
• 9 Belov A.M., Denisova A.Y. Spatial interpolation methods for spectral-spatial remote sensing image super-resolution algorithm based on gradient descent approach // Journal of Physics: Conference Series. — 2019. — Vol. 1368. Issue 3.
• 10 Denisova A.Y., Egorova A. A. , Sergeyev V.V. Application of superpixel segmentation and morphological projector for structural changes detection in remote sensing images // Journal of Physics: Conference Series. — 2019. — Vol. 1368. Issue 3.
• 11 Bavrina A.Y., Denisova A.Y., Kavelenova L.M. etc. Natural and revitalized grassy ecosystems as biodiversity refuges: On the abilities of remote sensing for their detection and study // Journal of Physics: Conference Series. — 2019. — Vol. 1368. Issue 3.
• 12 Denisova A.Y., Kavelenova L.M., Korchikov E.S. etc. Recognition of forest and shrub communities on the base of remotely sensed data supported by ground studies // CEUR Workshop Proceedings. — 2019. — Vol. 2391. — P. 233-242

2018

• 1 Denisova A.Y., Sergeyev V.V. EM clustering algorithm modification using multivariate hierarchical histogram in the case of undefined cluster number // Proceedings of SPIE - The International Society for Optical Engineering. — 2018. — Vol. 10806.
• 2 Belov A.M., Denisova A.Y. Spectral and spatial super-resolution method for earth remote sensing image fusion // Computer Optics 2018. — Vol. 42. Issue 5. — P. 855-863
• 3 Egorova A. A. , Denisova A.Y., Sergeev V.V. Earth remote sensing data processing technology for obtaining vegetation types maps // Computer Optics 2018. — Vol. 42. Issue 5. — P. 864-876
• 4 Egorova A.A., Denisova A.Yu., Sergeev V.V. Информационная технология обработки данных ДЗЗ для оценки ареалов растений // Computer Optics 2018. — Vol. 42. № 5. — P. 864-876
• 5 Denisova A.Y., Kuznetsov A.V., Glumov N.I. The technology of agricultural fields remote sensing image segmentation using morphological profiles // Journal of Physics: Conference Series. — 2018. — Vol. 1096. Issue 1.
• 6 Denisova A.Y., Evstiforova A.V. Soil characteristics influence on the winter wheat yield regression modeling using NDVI vegetation index // CEUR Workshop Proceedings. — 2018. — Vol. 2210. — P. 67-74

2017

• 1 Denisova A.Y., Sergeyev V.V. Supervised multichannel image classification algorithm using hierarchical histogram representation // Procedia Engineering. — 2017. — Vol. 201. — P. 213-222
• 2 Denisova A. Two implementations of probability anomaly detector based on different vector quantization algorithms // Communications in Computer and Information Science. — 2017. — Vol. 661. — P. 269-280
• 3 Denisova A., Sergeyev V. Using hierarchical histogram representation for the em clustering algorithm enhancement // International Symposium on Image and Signal Processing and Analysis, ISPA. — 2017. — P. 41-46
• 4 Denisova A.Y., Sergeyev V.V. The algorithms of hierarchical histogram computation for multichannel images // ACM International Conference Proceeding Series. — 2017. — Vol. Part F130523.
• 5 Denisova A., Kuznetzov A., Glumov N. Multichannel image segmentation algorithm for agricultural crop detection // CEUR Workshop Proceedings. — 2017. — Vol. 1975. — P. 209-216
• 6 Kavelenova L.M., Prokhorova N.V., Korchikov E.S. etc. Concerning the possibilities of successional changes revealing in anthropogenically transformed ecosystems on the base of remote sensing and ground-based survey data integration // CEUR Workshop Proceedings. — 2017. — Vol. 1901. — P. 99-103
• 7 Denisova A., Myasnikov V. Atmospheric correction of hyperspectral images using qualitative information about registered scene // Proceedings of SPIE - The International Society for Optical Engineering. — 2017. — Vol. 10341.

2016

• 1 Denisova A.Y., Sergeyev V.V. Algorithms for calculating multichannel image histograms using hierarchical data structures // Computer Optics 2016. — Vol. 40. Issue 4. — P. 535-542
• 2 Denisova A.Y., Sergeyev V.V. Using GIS data to identify linear observation model on remote sensing images in case of spatial mismatch of input image and vector map // CEUR Workshop Proceedings. — 2016. — Vol. 1638. — P. 296-303
• 3 Denisova A.Y., Sergeyev V.V. Impulse response identification by energy spectrum method using geoinformation data in case of remote sensing images // CEUR Workshop Proceedings. — 2016. — Vol. 1638. — P. 290-295
• 4 Denisova A.Y., Zhuravel Y.N., Myasnikov V.V. Estimation of parameters of a linear spectral mixture for hyperspectral images with atmospheric distortions // Computer Optics 2016. — Vol. 40. Issue 3. — P. 380-387
• 5 Denisova A.Y., Myasnikov V.V. Atmospheric correction of hyperspectral images using small volume of the verified data // Computer Optics 2016. — Vol. 40. Issue 4. — P. 526-534
• 6 Denisova A., Juravel Y., Myasnikov V. Linear spectral mixture analysis of hyperspectral images with atmospheric distortions // Lecture Notes in Computer Science. — 2016. — Vol. 9972 LNCS. — P. 134-141

2015

• 1 Denisova A.Y., Sergeyev V.V. Impulse response identification for remote sensing images using gis data // Computer Optics 2015. — Vol. 39. Issue 4. — P. 557-563
• 2 Vorobeva N. S. , Denisova A.Y., Kuznetsov A.V. etc. How to use geoinformation technologies and space monitoring for controlling the agricultural sector in Samara region // Pattern Recognition and Image Analysis 2015. — Vol. 25. Issue 2. — P. 347-353
• 3 Denisova A.Yu., Myasnikov V.V. Anomaly detection using spectral mismatch between anomaly pattern and its neighborhood // 23rd International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG 2015 - Short Papers Proceedings. — 2015. — P. 41-47

2014

• 1 Denisova A., Myasnikov V.V. Fully constrained linear spectral unmixing algorithm for hyperspectral image analys // Computer Optics 2014. — Vol. 38. Issue 4. — P. 782-789
• 2 Sergeev V.V., Denisova A.Y. Spectral energy identification method of the linear observation model in the absence of a covariance function model // Pattern Recognition and Image Analysis 2014. — Vol. 24. Issue 4. — P. 561-565
• 3 Denisova A.Y., Myasnikov V.V. Anomaly detection for hyperspectral imaginary // Computer Optics 2014. — Vol. 38. Issue 2. — P. 287-296
• 4 Denisova A.Y., Myasnikov V.V. Algorithms of linear spectral mixture analysis for hyperspectral images using base map // Computer Optics 2014. — Vol. 38. Issue 2. — P. 297-303

2013

• 1 Sergeyev V.V., Denisova A.Y. Iterational method for piecewise constant images restoration with an a priori knowledges of image objects boundaries // Computer Optics 2013. — Vol. 37. Issue 2. — P. 239-243
• 2 Belov A.M., Vorobeva N.S., Denisova A. Yu. etc. Application of GIS technologies and space monitoring in management of Samara region agro-industrial complex // 11th International Conference on Pattern Recognition and Image Analysis: New Information Technologies (PRIA-11-2013). — 2013. — P. 521-524
• 3 Sergeyev V.V., Denisova A. Yu. Energy spectrum method for identification of a linear observation model without correlation model of input signal // 11th International Conference on Pattern Recognition and Image Analysis: New Information Technologies (PRIA-11-2013). — 2013. — P. 315-318

2011

• 1 Sergeev V.V., Denisova A.Y. Spectral-Energy Identification Method of the Linear Observation Model for Remote Sensing of the Earth // Pattern Recognition and Image Analysis 2011. — Vol. 21. Issue 2. — P. 321-323