In the paper is presented one new approach for efficient decorrelation of multispectral images, based on hierarchical adaptive Principal Component Analysis. The research is aimed at the efficient compression of multispectral images (MS), whose resolution and band number in some application areas are extremely high. Together with this, also grows up the needed volume of the corresponding image d...

Unmanned Aerial Vehicles (UAV)-based remote sensing offers great possibilities to acquire in a fast and easy way field data for precision agriculture applications. This field of study is rapidly increasing due to the benefits and advantages for farm resources management, particularly for studying crop health. This paper reports some experiences related to the analysis of cultivations (vineyards...

The analysis of multispectral sceneries is still a challenging task although many different algorithms for a mathematical analysis exist. Most classification algorithms work in a supervised mode only, i.e. they need to know the possible land usage classes prior to the calculation. In this step many simplifications and assumptions have to be done which directly influence the result. KOHONEN ́s se...

Frequent biomass measurement is a key activity for optimal perennial ryegrass (Lolium perenne) management in intensive forage-based dairy operations. Due to the necessary high-frequency (i.e., weekly or monthly) pasture monitoring and continuous trend of larger farms, such perceived as an operational bottleneck. Consequently, substantial effort directed development accurate automated technologi...