This paper presents a hierarchical deep framework called Spectral-Spatial Response (SSR) to jointly learn spectral and spatial features of Hyperspectral Images (HSIs) by iteratively abstracting neighboring regions. SSR forms a deep architecture and is able to learn discriminative spectral-spatial features of the input HSI at different scales. It includes several existing spectral-spatial-based ...

Cong, Fengyu Evaluation and Extraction of Mismatch Negativity through Exploiting Temporal, Spectral, Time-frequency and Spatial Features Jyväskylä: University of Jyväskylä, 2010, 57p. (+included articles) (Jyväskylä Studies in Computing ISSN 1456-5390; 118) ISBN 978-951-39-3983-0 Finnish Summary Diss. This study is dedicated to the evaluation and extraction of mismatch negativity (MMN) from EEG...

A method is presented to use continuous wave electron paramagnetic resonance imaging for rapid measurement of oxygen partial pressure in three spatial dimensions. A particulate paramagnetic probe is employed to create a sparse distribution of spins in a volume of interest. Information encoding location and spectral linewidth is collected by varying the spatial orientation and strength of an app...

Traditional spectral imagers require 2-dimensional detectors. We present a new method to implement spectral imagers with linear detector imager systems based on spectrum compressed. Using 1-dimension detectors instead of 2-dimension detectors to get 3-dimensional data cubes, the spectral imagers could get both the spectral information and the spatial information of each ground object. By the me...

Present study attempts to understand the potential of multispectral ASTER (Advanced space borne thermal emission and reflection radiometer) data for spatial mapping of kimberlite. Kimberlite is an economic rock known for hosting diamond. Kimberlite also has petrogenetic importance for giving us clue on the composition of lower part of the mantle. Kimberlites often contain serpentine, carbonate ...

We investigate how the amount of information about colors in natural scenes available to the visual system depends on the spectral sensitivities of the three types of cones. We find that if we do not consider spatial information and low signal-to-noise situations, human cone spectral sensitivity curves do not provide the maximum possible information. This applies not only to information about a...

Pansharpening technique is used for fusion of low spatial resolution multispectral image and high spatial resolution panchromatic image, to increase the spatial resolution of multispectral image. Intensity-Hue-Saturation pan sharpening method has been used for most of the practical pansharpening applications but it offers some spectral distortion. Therefore, it has been used in integration with...

We present a new far-field super-resolution imaging approach called compressive spatial to spectral transformation microscopy (CSSTM). The transformation encodes the high-resolution spatial information to a spectrum through illuminating sub-diffraction-limited and wavelength-dependent patterns onto an object. The object is reconstructed from scattering spectrum measurements in the far field. Th...

rice cultivated areas and yield information is indispensable for sustainable management and economic policy making for this strategic food crop. introduction of high spectral and special resolution satellite data has enabled production of such information in a timely and accurate manner. knowledge of the spectral reflectance of various land covers is a prerequisite for their identification and ...