Satellite images provide continuous access to observations of the Earth, making
environmental monitoring more convenient for certain applications, such as tracking …

Monitoring open water bodies accurately is important for assessing the role of ecosystem
services in the context of human survival and climate change. There are many methods …

Multispectral remote sensing images (MRSI) are widely employed to assess modifications in
water bodies, land use and land cover changes, forest degradation, landscape change, and …

This paper established an eight-layer convolu-tional neural network to automatically
recognize the characteristic phases of the NiCrAlY coating, the coating/substrate interface …

In order to improve the authenticity of multispectral remote sensing image data analysis, the
KNN algorithm and hyperspectral remote sensing technology are used to organically …

High-resolution remote sensing images are used in Earth mapping and sensing. With high
resolution, we can see clearer details and get more accurate information about topography …

Previous knowledge of the possible spatial relationships between land cover types is one
factor that makes remote sensing image classification “smarter”. In recent years, knowledge …

In order to solve the problem of long training time for remote sensing image super‐resolution
reconstruction algorithm, a method for remote sensing image superresolution reconstruction …

In this paper, based on the Landsat multispectral remote sensing images of 1999, 2008 and
2019 in the oasis area of the Taolai River Basin, a remote sensing image classification …

This study presents a comprehensive analysis of land feature identification in District Vehari,
Pakistan, spanning from 1990 to 2025, utilizing remote sensing satellite imagery and …