Results 91 to 100 of about 2,627,069 (171)

Hyperspectral Imaging for Peach Ripening Assessment [PDF]

, 2010
The present research is focused on the application of artificial vision to peach ripening assessment, avoiding multiplicative and additive effect. Original images were acquired with a hyperspectral camera.
Diezma Iglesias, Belen, Roger, Jean-Michel, Lleó García, Lourdes, Herrero Langreo, Ana   +3 more
core  

Hyperspectral Anomaly Detection via Merging Total Variation Into Low-Rank Representation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Anomaly detection (AD) aiming to locate targets distinct from the surrounding background spectra remains a challenging task in hyperspectral applications.
Linwei Li, Ziyu Wu, Bin Wang
doaj   +1 more source

Illumination invariance and shadow compensation via spectro-polarimetry technique [PDF]

, 2013
A major problem for obtaining target reflectance via hyperspectral imaging systems is the presence of illumination and shadow effects. These factors are common artefacts, especially when dealing with a hyperspectral imaging system that has sensors in the
Jackman, James, Soori, Umair, Hong, Kan, Ibrahim, Izzati, Richardson, Mark A., Yuen, Peter W. T., Chen, Tong   +6 more
core   +1 more source

Enhancing Binary Change Detection in Hyperspectral Images Using an Efficient Dimensionality Reduction Technique Within Adversarial Learning

Remote Sensing
Detecting binary changes in co-registered bitemporal hyperspectral images (HSIs) using deep learning methods is challenging due to the high dimensionality of spectral data and significant variations between images.
Amel Oubara, Falin Wu, Guoxin Qu, Reza Maleki, Gongliu Yang   +4 more
doaj   +1 more source

Spatial analysis for colon biopsy classification from hyperspectral imagery [PDF]

, 2008
Automatic classification of histology images, the objective of our research, is aimed at supporting the pathologists in their diagnosis. In this paper, we present a comparative study between 3D spectral/spatial analysis (SSA) and 2D spatial analysis (SA ...
Rajpoot, Nasir M. (Nasir Mahmood), Masood, Khalid   +1 more
core   +1 more source

Spectral Superresolution Using Transformer with Convolutional Spectral Self-Attention

Remote Sensing
Hyperspectral images (HSI) find extensive application across numerous domains of study. Spectral superresolution (SSR) refers to reconstructing HSIs from readily available RGB images using the mapping relationships between RGB images and HSIs.
Xiaomei Liao, Lirong He, Jiayou Mao, Meng Xu   +3 more
doaj   +1 more source

SSHFormer: Optimizing Spectral Reconstruction with a Spatial–Spectral Hybrid Transformer

Remote Sensing
Reconstructing hyperspectral images (HSIs) from RGB images is an effective technique to overcome the high cost of spectrometers. Recently, Transformers have shown potential in capturing long-range dependencies for spectral reconstruction.
Ang Gao, Yubo Dong, Danhua Liu, Anqi Li, Zhenyuan Lin, Yuyan Li   +5 more
doaj   +1 more source

NR-IQA for UAV hyperspectral image based on distortion constructing, feature screening, and machine learning

International Journal of Applied Earth Observations and Geoinformation
Assessing the quality of UAV-HSIs (Unmanned aerial vehicle hyperspectral images) is crucial for evaluating sensor performance, identifying distortion types, and measuring data inversion accuracy.
Wenzhong Tian, Arturo Sanchez-Azofeifa, Za Kan, Qingzhan Zhao, Guoshun Zhang, Yuzhen Wu, Kai Jiang   +6 more
doaj   +1 more source

Hyperspectral texture analysis for colon tissue biopsy classification [PDF]

, 2007
Diagnosis and cure of colon cancer can be improved by performing automated histopathological analysis of colon biopsy samples. Due to significant observational variation between pathologists in several histological features, there is a need for the ...
Rajpoot, Nasir M. (Nasir Mahmood), Qureshi, Hammad A., Rajpoot, Kashif, Masood, Khalid   +3 more
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EnMAP - The future hyperspectral Satellite Mission Product Generation [PDF]

, 2009
The basic components of the future German satellite mission EnMAP (Environmental Mapping and Analysis Program) are the project management led by the Space Agency of the German Aerospace Centre (DLR) located in Bonn-Oberkassel, the space segment ...
Neumann, Andreas, Storch, Tobias, Miguel, Amaia, Kaufmann, hermann, Bachmann, Martin, Müller, Andreas, Palubinskas, Gintautas, Schneider, Mathias, Makasy, Christine, Richter, Rudolf, Guanter, Luis, Müller, Rupert, Walzel, Thomas, Segl, Karl   +13 more
core