TY  - JOUR
PB  - Hikari Ltd.
SP  - 1755
JF  - Applied Mathematical Sciences
AV  - none
ID  - scholars5418
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898926933&doi=10.12988%2fams.2014.4289&partnerID=40&md5=567d6287a6d18217ba8bba8b23decf1b
A1  - Ahmad, A.
A1  - Abdul Ghani, M.K.
A1  - Razali, S.
A1  - Sakidin, H.
A1  - Md Hashim, N.
N1  - cited By 13
EP  - 1762
N2  - 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. © 2014 Asmala Ahmad et al.
SN  - 1312885X
TI  - Haze reduction from remotely sensed data
IS  - 33-36
Y1  - 2014///
ER  -