Abstract
The correlation between scenes and targets in remote sensing images can provide useful and important information and guidance for satellite to achieve onboard targets evaluation in order to find valuable targets to image. The relationship between the target and the scene, as well as the spatial location association it contains, determines what the system should “focus on” and “what areas to focus on” in different scenarios. Referring to the guiding role of context information in the visual system, this paper studies how to identify potential targets through the scene context information, and a saliency model based on the task context information to achieve the target evaluation under different scenarios is proposed. At the end of the paper, a simulation experiment is given. It can be seen from the experiment that through scene context guidance, different parameters can be loaded in different scenarios to realize the evaluation and discrimination of different targets.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Auckland, M.E., et al.: Non-target objects can influence perceptual processes during object recognition. Psychon. Bull. Rev. 14, 332–337 (2007)
Biederman, I., et al.: Scene perception: detecting and judging objects undergoing relational violations. Cognit. Psychol. 14, 143–177 (1982)
Davenport, J.L., Potter, M.C.: Scene consistency in objects and background perception. Psychol. Sci. 15, 559–564 (2004)
Friedman, A.: Framing pictures: the role of knowledge in automatized encoding and memory of gist. J. Exp. Psychol. Gen. 108, 316–355 (1979)
Gordon, R.D.: Attentional allocation during the perception of scenes. J. Exp. Psychol. Hum. Percept. Perform. 30, 760–777 (2004)
Henderson, J.M., et al.: Effects of semantic consistency on eye movements during scene viewing. J. Exp. Psychol. Hum. Percept. Perform. 25, 210–228 (1999)
Palmer, S.E.: The effects of contextual scenes on the identification of objects. Mem. Cognit. 3, 519–526 (1975)
Hollingworth, A., Henderson, J.M.: Does consistent scene context facilitate object detection. J. Exp. Psychol. Gen. 127, 398–415 (1998)
Bar, M.: Visual objects in context. Nat. Rev. Neurosci. 5, 617–629 (2004)
Bar, M., Aminoff, E.: Cortical analysis of visual context. Neuron 38, 347–358 (2003)
Goh, J., et al.: Cortical areas involved in object, background, and object-background processing revealed with functional magnetic resonance adaptation. J. Neurosci. 24, 10223–10228 (2004)
Aminoff, E., et al.: The parahippocampal cortex mediates spatial and non-spatial associations. Cereb. Cortex 27, 1493–1503 (2007)
Gronau, N., Neta, M., Bar, M.: Integrated contextual representation for objects’ identities and their locations. J. Cogn. Neurosci. 20(3), 371–388 (2008)
Murray, N., Vanrell, M., Otazu, X., et al.: Saliency estimation using a non-parametric low-level vision model. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 433–440 (2011)
Torralba, A., et al.: Contextual guidance of attention in natural scenes: the role of global features on object search. Psychol. Rev. 113, 766–786 (2006)
Hoiem, D., et al.: Putting objects in perspective. Proc. IEEE Comp. Vis. Pattern Recog. 2, 2137–2144 (2006)
He, X., Zemel, R.S., Carreira-Perpiñán, M.Á.: Multiscale conditional random fields for image labeling. In: CVPR 2004, vol. 2, pp. II-695–II-702 (2004)
Viola, P., Jones, M.: Robust real-time face detection. Int. J. Comput. Vis. 57(2), 137–154 (2004)
Torralba, A., Murphy, K.P., Freeman, W.T.: Contextual models for object detection using boosted random fields. In: Nips, pp. 1401–1408 (2004)
Wolf, L., Bileschi, S.: A critical view of context. Int. J. Comput. Vis. 69(2), 251–261 (2006)
Li, W.J., Zhao, H.P., Guo, J., et al.: A multi-scale fractal dimension based onboard ship saliency detection algorithm. In: 2016 IEEE 13th International Conference on Signal Processing (ICSP), pp. 628–633 (2016)
Acknowledgment
The project was supported is the independent research and development project in China Academy of Space Technology.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Li, W., Shang, S., Tong, L. (2019). Target Evaluation of Remote Sensing Image Based on Scene Context Guidance. In: Jia, M., Guo, Q., Meng, W. (eds) Wireless and Satellite Systems. WiSATS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 280. Springer, Cham. https://doi.org/10.1007/978-3-030-19153-5_44
Download citation
DOI: https://doi.org/10.1007/978-3-030-19153-5_44
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-19152-8
Online ISBN: 978-3-030-19153-5
eBook Packages: Computer ScienceComputer Science (R0)