Spectral mixture analysis (SMA) is a very important task for hyper-spectral image analysis, in general, and subpixel data extraction, in particular. In this paper we present a new methodology for spectral unmixing, where a vector of fractions, corresponding to a set of endmembers (EMs), is estimated for each pixel in the image. The process first provides an initial estimate of the fraction vect...

Monitoring the Earth’s surface and objects is important for many applications, such as managing natural resources, crop yield predictions, hazard analysis. Remote sensing one of most efficient cost-effective solutions analyzing land-use land-cover (LULC) changes over through advanced computer algorithms, classification change detection. In past literature, various developments were made to dete...

Pocket beaches (PBs) are among the most attractive tourist sites and economic development contributors in coastal areas; however, they negatively impacted by combined effects of climate change anthropogenic activities. Generally, research on PBs is conducted from beach towards offshore. Studies land use/land cover (LULC) limited currently lacking. Such studies deserve more investigation due to ...

Hyperspectral data has remarkable capabilities for automatic identification and mapping of urban surface materials because of its high spectral resolution. It includes a wealth of information which facilitates an understanding of the ground material properties. For identification of road surface materials, information about their relation to hyperspectral sensor measurements is needed. In this ...

The study area is located in the central Iranian tectono-magmatic zone, which is known for its world-class IOA-type Iron ore deposits. The Advanced Space borne Thermal Emission and Reflection Radiometer (ASTER) and Landsat Enhanced Thematic Mapper Plus (ETM+) image-processing techniques, were used in satellite imagery through conventional and also modern processing methods including band ratios...

Abstract. Using data collected by the Hyperspectral Imager for Coastal Ocean (HICO) on International Space Station between 2010–2014, hyperspectral reflectance spectra of various floating matters in global oceans and lakes are derived spectral range 400–800 nm. Specifically, entire HICO archive 9411 scenes is first visually inspected to identify suspicious image slicks. Then, a nearest-neighbor...

In most practical applications of remote sensing images, high-resolution multispectral images are needed. Pansharpening aims to generate (MS) from the input high spatial resolution single-band panchromatic (PAN) and low images. Inspired by remarkable results other researchers in pansharpening based on deep learning, we propose a multilevel dense connection network with feedback connection. Our ...

Hyperspectral images possess the characteristics of high dimensionality, which causes “dimensional disaster” and low classification accuracy, in response to problems, based on traditional k-means algorithm considering importance different bands for classification, also combining both intra-class inter-class information, a Kmeans-CM (K-means with correlation coefficient maximize distance) spectr...

Hyper-DRELIO (Hyperspectral DRone for Environmental and LIttoral Observations) is a custom, mini-UAV (unmanned aerial vehicle) platform (<20 kg), equipped with light push broom hyperspectral sensor combined navigation module measuring position orientation. Because of the particularities UAV surveys (low flight altitude, small spatial scale, high resolution), dedicated pre-processing methods ...