Stone is one of the most common materials used as a building material in central Europe for centuries. Historical objects are endangered by degradation procedures coming from physical, chemical and biological weathering agents.The process itself should be analysed detail order to prevent historical application proper restoration cleaning techniques. Within our research, sandstone block was duri...

The support vector machine (SVM) has become a popular tool for image classification recently. The performance of SVM for hyperspectral image classification has been examined from a range of perspectives, but the impacts of noise, errors and uncertainties have attracted less attention. This paper aims to evaluate the impacts of noise on SVM classification. The research is undertaken using real i...

Clustering methods unequivocally show considerable influence on many recent algorithms and play an important role in hyperspectral data analysis. Here, we challenge the clustering for mineral identification using two different strategies long wave infrared (LWIR, 7.7–11.8 ?m). For that, compare to perform a unique dataset. The first algorithm uses spectral comparison techniques all pixel-spectr...

The need to monitor the Earth’s surface over a range of spatial and temporal scales is fundamental in ecosystems planning and management. Change-Vector Analysis (CVA) is a bi-temporal method of change detection that considers the magnitude and direction of change vector. However, many multispectral applications do not make use of the direction component. The procedure most used to calculate the...

Fungal diseases have a significant negative impact on strawberry yield. Their detection and differentiation using hyperspectral measurements is possible alternative to traditional methods. In this study, leaves infected with Ramularia Tulasnei, Marssonina potentillae Dendrophoma obscurans visible symptoms of the disease were used for analysis. The reflection spectrum was recorded Photonfocus ca...

We investigated the utility of high spectral and spatial resolution imagery for the automated species-level classification of individual tree crowns (ITCs) in a tropical rain forest (TRF). Laboratory spectrometer and airborne reflectance spectra (161 bands, 437–2434 nm) were acquired from seven species of emergent trees. Analyses focused on leaf-, pixeland crown-scale spectra. We first describe...

Lithium (Li) has grown to be a strategic key metal due the enormous demand for development of new energy industries over world. As one most significant sources Li resources, pegmatite-type deposits hold large share mining market. In recent years, several and super-large spodumene (Spd)-rich pegmatite have been discovered successively in Hoh-Xil–Songpan-Garzê (HXSG) orogenic belt northern Tibeta...

The water column overlying the submerged aquatic vegetation (SAV) canopy presents difficulties when using remote sensing images for mapping such vegetation. Inherent and apparent water optical properties and its optically active components, which are commonly present in natural waters, in addition to the water column height over the canopy, and plant characteristics are some of the factors that...

Hyperspectral imaging technology has been popularly applied in remote sensing because it collects echoed signals from across the electromagnetic (EM) spectrum and thereby contributes fruitfully spatial-spectral information. However, processing or storage of high-data-volume hyperspectral images (HSIs), also viewed as snapshots varying with EM spectrum, burdens hardware resources, especially for...