Land cover semantic segmentation in high-spatial resolution satellite images plays a vital role efficient management of land resources, smart agriculture, yield estimation and urban planning. With the recent advancement remote sensing technologies, such as satellites, drones, UAVs, airborne vehicles, large number high-resolution are readily available. However, these complex due to increased spa...

soil moisture is one of the critical parameters in climatic, ecological and hydrological modeling and vegetation growth. soil moisture is important for environmental studies but due to ground-based point measurement of soil moisture is expensive and impractical for watershed measurement, this parameter is not be used widely to simulate and predict models. overall and uniform view on different p...

As a critical variable to characterize the biophysical processes in ecological environment, and as a key indicator in the surface energy balance, evapotranspiration and urban heat islands, Land Surface Temperature (LST) retrieved from Thermal Infra-Red (TIR) images at both high temporal and spatial resolution is in urgent need. However, due to the limitations of the existing satellite sensors, ...

The availability of very high spatial resolution satellite images over urban areas is recent. The very high spatial resolution enables a real representation of streets on a map, but generates a significant increase of noise. A state-of the-art on road and street extraction with the evolution from linear to surface models for road and street is proposed. Then, a method for extracting urban stree...

Atmospheric conditions vary significantly in terms of the temporal and spatial scales. Therefore, it is critical to obtain atmospheric parameters synchronized with an image for correction based on radiative transfer calculation methods. On 3 July 2020, high resolution multimode imaging satellite, Gao Fen Duo Mo (GFDM), which was first civilian high-resolution remote sensing satellite equipped S...

Since satellite and aerial imageries are recently widely spread and frequently observed, combination of them are expected to complement spatial and temporal resolution each other. One of the prospective applications is traffic monitoring, where objects of interest, or vehicles, need to be recognized automatically. Techniques that employ object detection before object recognition can save a comp...

ABSTRACT: Due to the development of spatial resolution, spectral resolution and multi-image tasking of high-resolution satellite images, the generation of digital surface model (DSM) from high-resolution satellite images becomes an important and practical application. Nowadays, different image matching approaches such as global matching and semi-global matching has been developed to obtain dens...

investigation and monitoring of the displacement field derived from deformation is among the important studies in earth science and geophysics topics, which plays a main role in the prevention and praxeology of natural disasters such as earthquake, subsidence, land slide et cetera. here we can mention the several methods in geodetic measurement and deformation monitoring such as spirit leveling...

Images have been used in the sciences for a long time and they are used increasingly. Large amounts of data representing complex systems can only be represented by visualization as images. Multivariate images arise from a surprising variety of sources. Some are images in the conventional sense (such as satellite data) while others are not (secondary ion mass spectroscopy, SIMS). Almost all phys...