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On the characterization of hyperspectral texture
IEEE International Geoscience and Remote Sensing Symposium, 2003Many tools have been proposed in the literature for texture characterization of images. Some of them are based on statistical properties, others on fractal measures and some more on multiresolution analysis. Those methods have been proposed in a scalar point of view to be applied on mono-band images.
Grégoire Mercier, Marc Lennon
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IEEE Transactions on Geoscience and Remote Sensing
Wheat variety identification from hyperspectral images holds significant importance in both fine breeding and intelligent agriculture. However, the discriminatory accuracy of some techniques is limited due to insufficient datasets, data redundancy, and ...
Weidong Zhang +6 more
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Wheat variety identification from hyperspectral images holds significant importance in both fine breeding and intelligent agriculture. However, the discriminatory accuracy of some techniques is limited due to insufficient datasets, data redundancy, and ...
Weidong Zhang +6 more
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Hyperspectral Anomaly Detection: A Dual Theory of Hyperspectral Target Detection
IEEE Transactions on Geoscience and Remote Sensing, 2022Hyperspectral target detection (HTD) and hyperspectral anomaly detection (HAD) are designed by completely different functionalities in terms of how to carry out target detection. Specifically, HTD is a reconnaissance technique looking for known targets as opposed to HAD which is a surveillance technique seeking unknown targets of interest.
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Spaceborne Hyperspectral Image Generation based on Airborne Hyperspectral Image
IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008In order to support spaceborne hyperspectral sensor system design, an end-to-end simulation model for spaceborne hyperspectral image generation starting from the airborne image has been developed in this paper. Airborne image after being resampled both in the space and spectrum performs as the at-sensor radiance that is the input of the sensor model ...
Junping Zhang +3 more
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Hyperspectral Band Selection Based on Endmember Dissimilarity for Hyperspectral Unmixing
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018Hyperspectral remote sensing could acquire hundreds of bands to cover a complete spectral interval, which deliver more information and allow a whole range of new and more precise applications. But vast data volume can cause trouble in computer processing and data transmission.
Mingming Xu 0001 +6 more
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Enhanced Visualization of Hyperspectral Images
IEEE Geoscience and Remote Sensing Letters, 2010An enhanced visualization algorithm for hyperspectral images (HSI) is presented in this paper. The visualization is based on the projection onto color matching functions of the human vision system. A contrast enhancement procedure is introduced making use of multiband gradient information.
Zahid Mahmood, Paul Scheunders
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On noise properties in hyperspectral images
2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015We focus on considering noise properties in hyperspectral images acquired by different sensors. An initial assumption is that signal-dependent and signal-independent components are present. Using modern methods of blind estimation of noise parameters from images at hand, contributions of signal-dependent and signal-independent noise components are ...
Sergey K. Abramov +5 more
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Miniature hyperspectral systems
2017Spectroscopy methods have been used for decades to obtain information about various materials, ranging from galaxies billions of light years from earth, to Petri dishes containing rich bacteria cultures. From spectrometers in chemical labs to spectral cameras on satellites, the high dimensionality of spectral data is proven to be an excellent source of
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Hyperspectral In-Memory Computing
Optical Fiber Communication Conference (OFC) 2024We propose and demonstrate hyperspectral in-memory computing systems that harness both frequency and space dimensions, utilizing optical frequency combs and programmable optical memories. This approach offers the potential for energy-efficient optical information processing beyond PetaOPS-level performance.
Mostafa Honari-Latifpour +3 more
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Classification of hyperspectral remote sensing images with support vector machines
IEEE Transactions on Geoscience and Remote Sensing, 2004F. Melgani, L. Bruzzone
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