Evaluation of conventional digital camera scenes for Thematic Information Extraction

H. S. Lim
M. Z. MatJafri and K. Abdullah
School of Physics
Universiti Sains Malaysia,
11800 Penang
Abstract
A study was carried out to assess the capability of a personal digital camera to provide
useful remotely sensed images for land cover mapping. A Kodak DC290 digital camera
was employed to capture images of several test sites. The airborne platform used in this
study was a light aircraft, Cessna172Q, flown at an average altitude of 8000 ft above sea
level during image acquisitions. The standard supervised classification techniques, such
as the maximum likelihood, minimum distance-to-mean and parallelepiped, were applied
to the multispectral images consisted of red, green and blue bands. Training sites were
selected within each scene and five land cover classes were assigned to each classifier.
The relative performance of the techniques was evaluated. The accuracy of each
classification map was assessed using the reference data set consisted of a large number
of samples collected per category. The study revealed that the maximum likelihood
classifier produced superior result and achieved a high degree of accuracy. The
preliminary result indicates that a conventional digital camera can be a useful tool for
remote sensing.