Large area land-cover monitoring scenarios, involving large volumes of data, are becoming
more prevalent in remote sensing applications. Thus, there is a pressing need for increased …

Urbanization processes challenge the growth of orchards in many cities in Iran. In
Maragheh, orchards are crucial ecological, economical, and tourist sources. To explore …

Remote sensing and GIS are increasingly used as tools for monitoring and managing
forests. Remotely sensed and GIS data are now the data sources of choice for capturing …

We present an algorithmic variant of the simplified fuzzy ARTMAP (SFAM) network, whose
structure resembles those of feed-forward networks. Its difference with Kasuba's model is …

Scientists and policy makers from various institutions and agencies are currently devoting
substantial time and resources to study the implications of environmental change in forests …

The characteristics of calibration and validation data, especially sample size, distribution,
thematic labeling, and representativeness, are important to supervised classification …

A very simple radial basis function neural network (RBFNN) is investigated for hyperspectral
remote sensing image classification. Its training can be analytically solved with a closed …

Accurate land cover classifications and biophysical estimations derived from remotely
sensed data are important to generate map products and provide information about the …

Due to inappropriate planning and management, accelerated urban growth and tremendous
loss in land, especially cropland, have become a great challenge for sustainable urban …

Receiving patents or licenses is an inevitable act of research in order to protect new ideas
leading innovation. Request for patents has increased exponentially in order to legalize the …