Images captured in hazy or foggy weather conditions can be seriously degraded by
scattering of atmospheric particles, which reduces the contrast, changes the color, and …

Rapid urbanization is changing landscapes often resulting in the degradation of ecosystem
services and quality of urban life. Remote sensing and GIS tools can provide valuable …

The Kathmandu Valley of Nepal epitomizes the growing urbanization trend spreading
across the Himalayan foothills. This metropolitan valley has experienced a significant …

Remote imaging spectroscopy in the 0.4–2.5-μm visible and shortwave infrared (VSWIR)
range captures the majority of solar-reflected energy and enables a wide range of earth …

Remote sensing image dehazing is of great scientific interest and application value in both
military and civil fields. In this article, we propose an enhanced attention-guide generative …

The rate of transformation of natural land use land cover (LULC) to the built-up areas is very
high in the peri-urban areas of Indian metropolitan cities. Delhi National Capital Region …

Haze superimposes a veil over remote sensing images, which severely limits the extraction
of valuable military information. To this end, we present a novel trinity model to restore …

Multispectral remote sensing (RS) images are often contaminated by the haze that degrades
the quality of RS data and reduces the accuracy of interpretation and classification …

Multispectral remote sensing images are often contaminated by haze, which causes low
image quality. In this paper, a novel dehazing method based on a deep convolutional neural …

Cloud masking is of central importance to the Earth Observation community. This paper
deals with the problem of detecting clouds in visible and multispectral imagery from high …