Digital classification methods of remotely sensed images have acquired a growing importance in the automatic recognition of the land cover patterns. The enormous quantity of images that are being generated from an increasing number of highly sophisticated sensor systems require the development of innovative classification methodologies, which allow an automatic and efficient detection of the gr...

Hyperspectral image compression has received considerable interest in recent years due to the enormous data volumes collected by imaging spectrometers for Earth Observation. JPEG2000 is an important technique for data compression, which has been successfully used in the context of hyperspectral image compression, either in lossless and lossy fashion. Due to the increasing spatial, spectral, and...

We describe VisiMine, a system for data mining and statistical analysis of large collections of remotely sensed images.

We have developed an automated feature detection/classification system, called GENetic Imagery Exploitation (GENIE), which has been designed to generate image processing pipelines for a variety of feature detection/classification tasks. GENIE is a hybrid evolutionary algorithm that addresses the general problem of finding features of interest in multispectral remotely-sensed images. We describe...

With the advent of remote sensing satellites, a huge repository of remotely sensed images is available. Change detection in remotely sensed images has been an active research area as it helps us understand the transitions that are taking place on the Earth’s surface . This paper discusses the methods and their classifications proposed by various researchers for change detection. Since use of so...

Remotely sensed images often contain a combination of both pure and mixed pixels. Analysis and classification of remotely sensed imagery used to provide information on the spatial pattern of land cover feature suffer from the problem of class mixing within pixels. Therefore, how to get spatial pattern and boundaries information of endmembers in sub-pixel scale has been receiving increasing atte...