Results 191 to 200 of about 2,900 (227)

Support Vector Machine for Classification of Hyperspectral Remote Sensing Imagery

Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007), 2007
As one of the popular and advanced statistical learning algorithms, support vector machine (SVM) has been the new hot study area of pattern recognition and machine learning in recent years. SVM has such advantages as suitableness to high dimensional data, requirement of few samples and robustness to uncertainty, so it can be used to hyperspectral ...
Chen-guang Dai, Xiao-bo Huang, Guang-jun Dong   +2 more
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Prediction of Soil Organic Carbon by Hyperspectral Remote Sensing Imagery

2012 Third Global Congress on Intelligent Systems, 2012
Conventional analyses of soil characteristic are expensive, time-consuming, and may result in environmental pollutants. Hence, the objective of this study was: 1) to investigate the potential of VIS-NIR spectroscopy to estimate soil organic carbon (SOC), 2) to use the Hyper ion reflectance data (400-2500 nm) to map SOC in the bare soils.
Peng Lu, Zheng Niu, Linghao Li
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An unsupervised artificial immune classifier for multi/hyperspectral remote sensing imagery

IEEE Transactions on Geoscience and Remote Sensing, 2006
A new method in computational intelligence namely artificial immune systems (AIS), which draw inspiration from the vertebrate immune system, have strong capabilities of pattern recognition. Even though AIS have been successfully utilized in several fields, few applications have been reported in remote sensing.
null Yanfei Zhong, null Liangpei Zhang, null Bo Huang, null Pingxiang Li   +3 more
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A New Digital Repository for Remotely Sensed Hyperspectral Imagery on GPUs

2013 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2013
Hyperspectral imaging is a new technique in remote sensing in which an imaging spectrometer collects hundred of images (at different wavelength channels) for the same area on the surface of Earth. Over the last years, hyperspectral image data sets have been collected from a great amount of locations over the world using a variety of instruments for ...
Jorge Sevilla Cedillo, Antonio Plaza Miguel   +1 more
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Spectral-spatial DNA encoding discriminative classifier for hyperspectral remote sensing imagery

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2015
Hyperspectral remote sensing image classification is one of the most challenging tasks. In our previous work, motivated by the similarity between the structures of DNA and hyperspectral remote sensing images, a DNA matching mechanism was used to transform the hyperspectral remote sensing image into a DNA cube for classification.
Ailong Ma, Yanfei Zhong, Bei Zhao, Hongzan Jiao, Liangpei Zhang   +4 more
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An Evaluation of Visualization Techniques for Remotely Sensed Hyperspectral Imagery

2011
Displaying the abundant information contained in a remotely sensed hyperspectral image is a challenging problem. Currently no approach can satisfactorily render the desired information at arbitrary levels of detail. This chapter discusses user studies on several approaches for representing the information contained in hyperspectral information.
Shangshu Cai, Robert Moorhead, Qian Du
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Leaf and canopy cholorophyll content retrieval from hyperspectral remote sensing imagery

2010 IEEE Sensors Applications Symposium (SAS), 2010
Chlorophyll content is the essential parameter in photosynthesis determining leaf spectral variation in visible bands. Therefore, the accurate estimation of the forest canopy chlorophyll content is a significant foundation in assessing forest growth and diseases.
Xiguang Yang, Wenyi Fan, Ying Yu
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Measures to improve crop classification using remotely sensed hyperion hyperspectral imagery

2012 International Conference on Communications, Devices and Intelligent Systems (CODIS), 2012
Hyperion- a hyperspectral sensor is carried on NASA's EO1 satellite. This study was carried out for Lonar area of Jalna district, Maharashtra using data of January 2008. Hyperion data contains 242 spectral bands ranging from 356 to 2577 nm out of which 196 calibrated bands (bands: 8–57 and 79–224) are used for further processing. Level 1 product (.L1R)
Hasmukh J. Chauhan, B. Krishna Mohan
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ANN Classification of OMIS Hyperspectral Remotely Sensed Imagery: Experiments and Analysis

2008 Congress on Image and Signal Processing, 2008
In order to experiment the performance of some popular ANN algorithms to OMIS (Operational Modular Imaging Spectrometer) hyperspectral image, three widely used ANNs, including Back Propagation Neural Network (BPNN), Radial Basis Function Neural Network (RBFNN), Fuzzy ARTMAP network and their improvements, are employed and compared. It is concluded that
Peijun Du, Kun Tan, Wei Zhang, Zhigang Yan   +3 more
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A Neural Approach to Compression of Hyperspectral Remote Sensing Imagery

2001
This paper presents an original research for hyperspectral satellite image compression using a fully neural system with the following processing stages: (1) a Hebbian network performing the principal component selection; (2) a system of "k" circular self-organizing maps for vector quantization of the previously extracted components.
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