Haze reduction from remotely sensed data

Asmala Ahmad, Mohd Khanapi Abdul Ghani, Sazalinsyah Razali, Hamzah Sakidin, Noorazuan Md. Hashim

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Haze consists of atmospheric aerosols and molecules that scatter and absorb solar radiation, thus affecting the downward and upward solar radiance to be recorded by remote sensing sensors. Haze modifies the spectral signature of land classes and reduces classification accuracy, so causing problems to users of remote sensing data. Hence, there is a need to reduce the haze effects to improve the usefulness of the data. A way to do this is by integrating spectral and statistical approaches. The result shows that the haze reduction method is able to increase the accuracy of the data statistically and visually.

Original languageEnglish
Pages (from-to)1755-1762
Number of pages8
JournalApplied Mathematical Sciences
Issue number33-36
DOIs
Publication statusPublished - 2014

Fingerprint

Remote sensing
Atmospheric aerosols
Remote Sensing
Solar radiation
Solar Radiation
Radiance
Aerosol
Scatter
Reduction Method
Molecules
Sensors
Signature
Sensor
Class

Keywords

  • Haze reduction
  • Remote sensing
  • Spectral

ASJC Scopus subject areas

  • Applied Mathematics

Cite this

Ahmad, A., Abdul Ghani, M. K., Razali, S., Sakidin, H., & Md. Hashim, N. (2014). Haze reduction from remotely sensed data. Applied Mathematical Sciences, (33-36), 1755-1762. https://doi.org/10.12988/ams.2014.4289

Haze reduction from remotely sensed data. / Ahmad, Asmala; Abdul Ghani, Mohd Khanapi; Razali, Sazalinsyah; Sakidin, Hamzah; Md. Hashim, Noorazuan.

In: Applied Mathematical Sciences, No. 33-36, 2014, p. 1755-1762.

Research output: Contribution to journalArticle

Ahmad, A, Abdul Ghani, MK, Razali, S, Sakidin, H & Md. Hashim, N 2014, 'Haze reduction from remotely sensed data', Applied Mathematical Sciences, no. 33-36, pp. 1755-1762. https://doi.org/10.12988/ams.2014.4289
Ahmad, Asmala ; Abdul Ghani, Mohd Khanapi ; Razali, Sazalinsyah ; Sakidin, Hamzah ; Md. Hashim, Noorazuan. / Haze reduction from remotely sensed data. In: Applied Mathematical Sciences. 2014 ; No. 33-36. pp. 1755-1762.
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