We attempted a method of fusing a coarse resolution hyperspectral image and a high spatial resolution image with a few spectral bands to produce a high resolution hyperspectral image, and to extract the spectra of the end-members. The method is based on the linear spectral mixing model and an iterative maximum-likelihood algorithm is used to invert the mixing equation. The effects of noise and ...

Soil salinity / alkalinity development is one of the major land degradation problem affecting sustainable agricultural productivity in irrigated areas of arid and semi arid regions of the world. The characterization and mapping of salt affected soils is difficult as the salt concentration may vary substantially over short distances. Various broadband multi-spectral satellite data and spectral i...

The maximum noise fraction (MNF) transform, which produces the improved order of components by signal to noise ratio (SNR), has been commonly used for spectral feature extraction from hyperspectral remote sensing data before image classification. When hyperspectral data contains a spectral distortion, also known as a “smile” property, the first component of the MNF, which should have high image...

The Hatu area, West Junggar, Xinjiang, China, is situated at a potential gold-copper mineralization zone in association with quartz veins and small granitic intrusions. In order to identify the alteration zones and mineralization occurrences in this area, the Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper (ETM+), Quickbird, Hyperion data and laboratory measured spectra were combined ...

The potential of EO-1 Hyperion data combined with an inverted geometric-optical model for the retrieval of forest structural variables in the Longmenhe broadleaved forest natural reserve, located in the Three Gorges region (China), is studied in this paper. Based on the principle of Li-Strahler geometric-optical model, we retrieve the per-pixel reflectance as being a linear combination of four ...

Remote sensing analysis is a crucial tool for monitoring the extent of mine waste surfaces and their mineralogy in countries with a long mining history, such as South Africa, where gold and platinum have been produced for over 90 years. These mine waste sites have the potential to contain problematic trace element species (e.g., U, Pb, Cr). In our research, we aim to combine the mapping and mon...

Contrary to binary and multi-class classifiers, the purpose of a one-class classifier for remote sensing applications is to map only one specific land use/land cover class of interest. Training these classifiers exclusively requires reference data for the class of interest, while training data for other classes is not required. Thus, the acquisition of reference data can be significantly reduce...

In hyperspectral imagery there are some cases when no pure pixels present due to the limitation of the sensors’ space resolution and the complexity of the ground components, and then the endmembers extracted by traditional algorithms are usually mixing ones still. In order to solve this problem, this paper proposes an endmember extraction algorithm based on the re-analysis of preliminary endmem...

The presence of salt in the soil profile negatively affects the growth and development of vegetation. As a result, the spectral reflectance of vegetation canopies varies for different salinity levels. This research was conducted to (1) investigate the capability of satellite-based hyperspectral vegetation indices (VIs) for estimating soil salinity in agricultural fields, (2) evaluate the perfor...

Weathering and oxidation of sulphide minerals in mine wastes release toxic elements surrounding environments. As an alternative to traditional sampling chemical analysis methods, the capability proximal remote sensing techniques was investigated this study predict Chromium (Cr) concentration 120 soil samples collected from a dumpsite Sarcheshmeh copper mine, Iran. The samples’ mineralogy Cr wer...