Sökning: "Amir Houshang Ehsani"
Hittade 2 avhandlingar innehållade orden Amir Houshang Ehsani.
- Detta är en avhandling från Stockholm : KTH
Sammanfattning : In this thesis a semi-automatic method is developed to analyze morphometric features and landscape elements based on Self Organizing Map (SOM) as a unsupervised Artificial Neural Network algorithm. Analysis and parameterization of topography into simple and homogenous land elements (landform) can play an important role as basic information in planning processes and environmental modeling. LÄS MER
2. Morphometric and Landscape Feature Analysis with Artificial Neural Networks and SRTM data Applications in Humid and Arid EnvironmentsDetta är en avhandling från Stockholm : KTH
Sammanfattning : This thesis presents a semi-automatic method to analyze morphometric features and landscape elements based on Self Organizing Map (SOM) as an unsupervised Artificial Neural Network algorithm in two completely different environments: 1) the Man and Biosphere Reserve “Eastern Carpathians” (Central Europe) as a complex mountainous humid area and 2) Lut Desert, Iran, a hyper arid region characterized by repetition of wind-eroded features.In 2003, the National Aeronautics and Space Administration (NASA) released the SRTM/ SIR-C band data with 3 arc seconds (approx. LÄS MER