The pixels of remote images often contain more than one distinct material (mixed pixels),
and so their spectra are characterized by a mixture of spectral signals. Since 1971, a shared …

Remote sensing applications have gained in popularity in recent years, which has resulted
in vast amounts of data being produced on a daily basis. Managing and delivering large sets …

Hyperspectral image compression has received considerable interest in recent years due to
the enormous data volumes collected by imaging spectrometers for Earth Observation …

We evaluate the implications of JPEG2000 lossy compression of remote sensing images for
spatial analytical purposes. The main issue is to identify which cases and conditions in …

Lossy compression methods for hyperspectral image have received a new attention due to
the massive amount of information involved for transmission and storage. 3D-SPIHT applies …

Due to the involvement of massive amount of information in processing and transmission
operations, reduction of encoder complexity is a key requirement for lossy compression …

Principal component analysis (PCA) is the most efficient spectral decorrelation approach for
hyperspectral image compression. In conjunction with JPEG2000-based spatial coding, the …

La principal contribución del presente trabajo de tesis doctoral viene dada por la propuesta
e implementación de nuevas técnicas de análisis hiperespectral capaces de incorporar la …

With the advances in modern active and passive sensor technologies with higher spectral
and spatial resolutions as well as faster scanning speeds, more powerful satellite …

Cholecystectomies are one of the most common surgeries performed in the United States,
and most of the complications which arise from these are injuries to the common bile duct …