Change detection captures the spatial changes from multi temporal satellite images due to
manmade or natural phenomenon. It is of great importance in remote sensing, monitoring …

GeoAI, or geospatial artificial intelligence, has become a trending topic and the frontier for
spatial analytics in Geography. Although much progress has been made in exploring the …

Multispectral photodetectors are emerging devices capable of detecting photons in multiple
wavelength ranges, such as visible (VIS), near infrared (NIR), etc. Image data acquired with …

Pathogen infection has greatly reduced crop production. As the symptoms of diseases
usually appear when the plants are infected severely, rapid identification approaches are …

Hyperspectral Images, which are high-dimensional in nature and capture bands over
hundreds of wavelengths of the electromagnetic spectrum. These images have piqued …

The contiguous acquisition of information in narrow wavelength in hyperspectral images
poses complex problems in processing of the bands at various stages. The complexity …

Hyperspectral image (HSI) classification is one of the growing research areas in Remote
Sensing. The high dimensionality of the data cube and a high correlation among the …

Classification of hyperspectral images is one of the emerging areas of remote sensing. The
high volume of the data, contiguous acquisition and correlation among the bands pose …

We devise efficient methods for dynamic inverse problems, where both the quantities of
interest and the forward operator (measurement process) may change in time. Our goal is to …

Hyperspectral image classification plays a crucial role in remote sensing image analysis by
classifying pixels. However, the existing methods require more spatial–global information …