Fractional Order Processing of Satellite Images

3d Processing of High-resolution Satellite Images

High-resolution satellite images at sub-5m footprint are becoming increasingly available to the earth observation community and their respective clients. The related cameras are all using linear array CCD technology for image sensing. The possibility and need for accurate 3D object reconstruction requires a sophisticated camera model, being able to deal with such sensor geometry. We have recent...

Multi Resolution Fuzzy Segmentation of Satellite Images

Hipi, as Alternative for Satellite Images Processing

These days, in different fields of both industry and academia, large amounts of data is generated. The use of several frameworks with different techniques is essential , for processing and extraction of data. In the remote sensing field, large volumes of data are generated (satellite images) over short periods of time. Information systems for processing these kind of images were not designed wi...

The Preparation of Updated Vegetation Maps by Processing Satellite Images: A Way in Sustainable Management of Agriculture

An important factor in sustainable agriculture and economic management is to calculate areas under different crops that the inputs of agriculture connect to this topic. Planning of agricultural mechanization, fertilizer and pesticide requirements, pests and diseases control, estimates of agricultural production, income and tax and financial planning, all linked to the cultivated areas and estim...

Estimating Plant Dry Matter Productivity for AL-Sweeda Badia Rangeland (Syria) at Deferent Processing Levels of BKA, KVA Satellite Images

Estimation of plant dry matter to management of rangelands fast as well as high accuracy is important for managers. Research aims to compare Plant Dry Matter Productivity (PDMP) values estimated by Normalized Difference Vegetation Index (NDVI) derived from satellite images BKA, KVA according to different levels of satellite image processing, for AL-Sweeda Badia (Syria), during the April, July o...