Narrow-band Signature Dual-wavelength Method for Photometric Control and Detection of Well-known Configuration Objects Against the Vegetation Background

Cover Page

Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription or Fee Access

Abstract

The theoretical fundamentals of the proposed dual-wavelength narrow-band method of photometric control and detection of the well-known configuration target against the forest background are outlined. The target is detected by calculating its NIR- and RED- narrowband signatures using the proposed formulas at the wavelength intervals with a width of Δλ, closely adjacent to the “red edge” area in the vegetation reflection spectrum and further comparing these signatures with the relevant vegetation signatures. The proposed method provides for the availability of a priori data on the forest spectral signatures, as well as on the ratio of the forest areas and the target on the generated image

Full Text

Restricted Access

About the authors

Fakhraddin G. Agayev

National Aerospace Agency

Author for correspondence.
Email: photonics@technosphera.ru
ORCID iD: 0000-0002-9826-0868

Dr. of technical sciences, professor

Azerbaijan, Baku

Hikmet H. Asadov

National Aerospace Agency

Email: photonics@technosphera.ru
ORCID iD: 0000-0003-1180-1535

Dr. of technical sciences, professor

Azerbaijan, Baku

Gunel V. Alieva

National Aerospace Agency

Email: photonics@technosphera.ru
ORCID iD: 0000-0001-6540-8750

Cand. of technical sciences

Azerbaijan, Baku

References

  1. Olsen R. C., Bergman S., Resmini R. G. Target detection in a forest environment using spectral imagery. URL: https://www.researchgate.net/publication/228815798_Target_Detection_in_a_Forest_Environment_using_Spectral_Imagery.
  2. Gonzalez S. A. R., Shimoni M., Plaza J., Plaza A., Renhorn I., Ahlberg J. The detection of concealed targets in woodland areas using hyperspectral imagery. Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. IEEE Latin American GRSS & ISPRS Remote Sensing Conference (LAGIRS 2020). 2020; IV.
  3. Nilsson P., Nelsson C. Hyperspectral analysis of IR data from a background scene. Proc. SPIE 5075. Targets and Backgrounds IX: Characterization and Representation. 5 September 2003. doi: 10.1117/12/486901.
  4. Montoya J. R., Sutherland R. A. Narrow-band signature propagation through obscuring atmospheres. Proc. SPIE 5075. Targets and Backgrounds IX: Characterization and Representation. 5 September 2003. doi: 10.1117/12.487640.
  5. Iqbal I. M., Balzter H., Shabbir A. Identifying the spectral signatures of invasive and native plant nspecies in two protected areas of Pakistan through field spectroscopy. Remote Sens. 2021;13:4009. doi: 10.3390/rs13194009.
  6. Ray S. S., Jain N., Miglani A., Singh J. P., Singh A. K., Panigrahy S., Parihar J. S. Defining optimum spectral narrow bands and bandwidths for agricultural applications. Current Science. 25 May 2010; 98(10): 1365–1369.
  7. Mohammed G. H., Noland T. L., Irving D., Sampson P. H., Zarco-Tejada P. J., Miller J. R. Natural and stress-induced effects on leaf spectral reflectance in Ontario species. Forest Research report. No 156.
  8. Development of an IR signature model. URL: https://dspace.lib.cranfield.ac.uk/bitstream/handle/1826/2912/CHAPTER_6_july26.pdf?sequence=3&isAllowed=y.

Supplementary files

Supplementary Files
Action
1. JATS XML
Download
2. Fig. 1. Spectral region of “red edge” in the vegetation reflection spectrum

Download (115KB)
Indexing metadata
3. Fig. 2. Schematic layout of the photometric object detection against the vegetation background on the ABCD image: 1 – generated image; 2 – object; 3 – detector

Download (59KB)
Indexing metadata

Copyright (c) 2023 Agayev F.G., Asadov H.H., Alieva G.V.