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High SSC related to Dongjiakou Harbor construction was observed during June 2010 to August 2013. The adjacent Mytilus edulis aquaculture waters with area of 11.13 km2, 15.48 km2, and 24.27 km2 were affected by the high SSC retrieved from remote sensing SSC on 24 April 2011, 21 September 2011, and 10 January 2013. The aquaculture rope and Mytilus edulis were full of sediment during the in-situ survey...
In recent 15 years, the biodiversity of Chongming Dongtan national nature reserve has been dramatically reduced by invasive plants, especially by spartina alterniflora. How to obtain and monitor spatio-temporal change of spartina alterniflora has great practical significance in managing and protecting Chongming Dongtan. Therefore, the main purpose of this paper was to build up a method to recognize...
The polarimetric Synthetic Aperture Radar (POLSAR) image data has the problems of the noisy pixels and vague category boundaries because of its complex scattering mechanism and statistical property, which strongly influence the classification quality, while the fuzzy possibilistic C-means (FPCM) is robust in detecting the noisy pixels and modeling the uncertainty. Hence, we tried FPCM algorithm combined...
Supervised classification of fully polarimetric SAR image using neural network is a common method nowadays. As an effective learning method of neural network, BP algorithm is the most widespread one in the neural network algorithms. However, BP network is easy to fall into local extremum and exists shortcomings such as the slow training process. To this end, this paper presents a method of supervised...
Semantic event recognition based only on vision cues has had limited success on unconstrained still pictures. Metadata related to picture taking provides contextual cues independent of the image content and can be used to improve classification performance. With geotagged pictures, we investigate the novel use of satellite images (e.g., supplied by Google Earth??) corresponding to the GPS (global...
In recent years, back-propagation (BP) neural network has been widely applied to the remote sensing image classification. However, the BP method based on the gradient descent principle suffers from the problem of getting stuck at local minimum. In addition, only using spectral information for multispectral remote sensing image classification could not get the ideal result. In this paper, a new method...
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