Images gathered from different satellites are vastly available these days due to the fast
development of remote sensing (RS) technology. These images significantly enhance the …

Satellite images taken on the earth's surface are analyzed to identify the spatial and
temporal changes that have occurred naturally or manmade. Real-time prediction of change …

As a fundamental task in remote sensing (RS) observation of the earth, change detection
(CD) using hyperspectral images (HSI) features high accuracy due to the combination of the …

Forest conservation is crucial for the maintenance of a healthy and thriving ecosystem. The
field of remote sensing (RS) has been integral with the wide adoption of computer vision and …

Co-registration of multimodal remote sensing (RS) images (eg, optical, infrared, LiDAR, and
SAR) is still an ongoing challenge because of nonlinear radiometric differences (NRD) and …

Quantities of multi-temporal remote sensing (RS) images create favorable conditions for
exploring the urban change in the long term. However, diverse multi-source features and …

Wildfires are major natural disasters negatively affecting human safety, natural ecosystems,
and wildlife. Timely and accurate estimation of wildfire burn areas is particularly important for …

Polarization can provide information largely uncorrelated with the spectrum and intensity.
Therefore, polarimetric imaging (PI) techniques have significant advantages in many fields …

Hyperspectral images (HSIs) contain rich spectral signatures that reveal more image details
and, thus, enable the detection of less noticeable changes on the ground. However, HSI …

With the increasing availability of multitemporal hyperspectral imagery, hyperspectral
change detection under heterogeneous backgrounds is a challenging task. Due to the …