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 ...

Genetic variation between various plant species determines differences in their physio-chemical makeup and ultimately in their hyperspectral emissivity signatures. The hyperspectral emissivity signatures, on the one hand, account for the subtle physio-chemical changes in the vegetation, but on the other hand, highlight the problem of high dimensionality. The aim of this paper is to investigate ...

The study area is located ~50 km in the north of Tehran capital city, Iran, and is a part of central Alborz Mountain. The intrusive bodies aged post Eocene have intruded in the Eocene volcanic units causing hydrothermal alterations in these units. Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images were used to map hydrothermal alteration zones. The propylitic, phyllic...

At present, there is very limited information on the ecology, distribution, and structure of Cambodia's tree species to warrant suitable conservation measures. The aim of this study was to assess various methods of analysis of aerial imagery for characterization of the forest mensuration variables (i.e., tree height and crown width) of selected tree species found in the forested region around t...

This paper presents an evaluation, to which degree geological and geomorphological information can be obtained from modern remote sensing systems like the multispectral ASTER or the hyperspectral Hyperion sensor for a hyperarid desert region like the Dakhla Oasis (Western Desert, Egypt). To account for the enhanced information content these sensors provide, hyperspectral analysis methods, incor...

The objectives of this study were (a) to evaluate the suitability of SAR imagery for discriminating savanna physiognomies, (b) to combine SAR and optical imagery for achieving improved accuracy, and (c) to develop a hybrid approach based on pixels and objects to characterize gradients of vegetation density. We used imagery from the Phased Array L-band Synthetic Aperture Radar (PALSAR), as well ...

This Letter describes a procedure that incorporates textural measures in the classification of logged forests from Landsat Thematic Mapper data. The objective was to increase classification accuracy by applying recently developed algorithms in machine learning that are fast in training. Three voting classification algorithms, Arc-4x, Adaboost and bagging were also tested. Initial results using ...

Powdery mildew (PM) in apple orchards is a critical fungal disease that considerably reduces yield, harvested fruit quality, and orchard health. Rapid detection mapping of resulting infestation at scale challenge with existing laborious manual scouting approaches. Therefore, this study explored the feasibility detecting PM an block using high-resolution visible (red-green-blue [RGB]) multispect...