high spatial resolution hyperspectral imagery
Mapping of Mineral Zones using the Spectral Feature Fitting Method in Jahazpur belt, Rajasthan, India
... mapping. Hyperspectral satellite imagery is having a high resolution which is more useful for the mineral identification and mapping and hence, capable to replacing the traditional techniques ...
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Spectral-spatial feature learning for hyperspectral imagery classification using deep stacked sparse autoencoder
... of hyperspectral remote sensing imagery is one of the most popular topics because of its intrinsic potential to gather spectral signatures of materials and provides distinct abilities to object detection ...
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Toward Quantifying Oil Contamination in Vegetated Areas Using Very High Spatial and Spectral Resolution Imagery
... a spatial resolution of 1 and 2.5 m and a spectral resolution of ...m spatial resolution using a nearest neighborhood filter, in order to preserve the spatial information, and ...
20
Detection and Mapping of Phragmites australis using High Resolution Multispectral and Hyperspectral Satellite Imagery
... The spatial resolution of the CHRIS PROBA imagery is relatively large at 17m and this creates a problem when assigning each pixel to a land cover ...pixel resolution, the number of pixels ...
139
Remote sensing of coral reefs for monitoring and management: a review
... to high spatial resolution ...required spatial mapping ...various spatial scales ...using hyperspectral data is given by Zhang et ...sensing imagery, the ability to use ...
40
Detection of Verticillium wilt in olive using high-resolution hyperspectral and thermal remote sensing imagery
... no spatial information, so their use is limited because of influences of environmental conditions like sunlight, wind, soil, ...of spatial heterogeneities on various scales, from the leaf level to canopies ...
198
Nonnegative-Matrix-Factorization-Based Hyperspectral Unmixing With Partially Known Endmembers
... the spatial and spectral information contained in the imagery [1], [2], [3], ...sensors, hyperspectral images normally do not have high spatial resolution, which causes the mixed ...
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High spatial resolution and hyperspectral remote sensing for mapping vegetation species in tropical rainforest
... from high spatial resolution aerial photographs which are taken from film ...of high spatial resolution imagery from airborne and spaceborne multispectral sensors ...with ...
58
Hyperspectral imagery super-resolution by sparse representation and spectral regularization
... Low spatial resolution will result in a lot of mixed pixels and greatly degrade the detection and recognition performance, affect the related applica- tion in civil and military ...the hyperspectral ...
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Mapping olive varieties and within-field spatial variability using high resolution QuickBird imagery
... sensing imagery for orchard ...(TM) imagery was successfully used to map the distribution of macadamia nut orchards and support yield forecasting (Whelan, ...used high-spatial ...
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Rainforest Design and Building Footprints, A Realistic Approach
... be high enough to pose a solid obstacle to water surface flow is ...that high accuracy building footprints are critical for successful flow modelling, as any misclassification, such as a road section ...
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Effects of high-resolution geostationary satellite imagery on the predictability of tropical thunderstorms over Southeast Asia
... extensive spatial coverage (Escrig et ...example, high-resolution inter- val imagery with a resolution of 2 km and 10 min by the Himawari-8 satellite operated by the Japan Meteorologi- ...
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Comparison between Land Use/Land Cover Mapping Through Landsat and Google Earth Imagery
... of deterioration [19, 20]. Results showed combined and Then, motioned layer was imported into GE and images compatible data derived from free sources can date pushed back to the closest year coincided with implemented ...
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Automated identification of potential snow avalanche release areas based on digital elevation models
... For the numerical simulation of snow avalanches with up-to-date tools such as RAMMS (Christen et al., 2010a; Bartelt et al., 2012a), SAMOS (Sampl and Zwinger, 2004) or ELBA + (Keiler et al., 2006), accurate information ...
15
Classification of high dimensional and imbalanced hyperspectral imagery data
... Abstract. The present paper addresses the problem of the classification of hyper- spectral images with multiple imbalanced classes and very high dimensionality. Class imbalance is handled by resampling the data ...
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Early Detection and Quantification of Almond Red Leaf Blotch Using High-Resolution Hyperspectral and Thermal Imagery
... orchards. High-resolution thermal and hyperspectral airborne imagery was acquired from two flights and compared with concurrent field visual evaluations for disease incidence and ...and ...
23
Individual tree delineation and species identification in deciduous and mixed Canadian forests using high spatial resolution airborne LiDAR and image data
... (2) Individual tree species classifications were successfully conducted using different remote sensing data: airborne LiDAR data and high spatial resolution imagery.. The ini[r] ...
199
Intelligent High Resolution Satellite/Aerial Imagery
... the high resolution satellite images to col- lect the vertical labels, most the work, now days, and people are doing the same thing for data ...in high resolution ...
9
High-resolution cathodoluminescence hyperspectral imaging of nitride nanostructures
... m spatial pixels in the hyperspectral image is described by a linear combina- tion of n monochromatic wavelengths; together these data are then a set of m points within the n-dimensional space of the values ...
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Texture based feature extraction: application to burn scar detection in Earth observation satellite sensor imagery
... The current study aimed to investigate the potential of texture-based GLCM techniques for the identi cation of burn scars in low spatial resolution EO imagery since most current burn scar mapping ...
8