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It designed a driver fatigue detection system using the eye's open and close status for decision. It firstly uses an adaptive skin color region for face segmentation. After that, the face region gradient is calculated and adaptively thresholded. It uses a color HOG algorithm to pick out the eye region features. All eye feature vectors are pushed into the linear SVM classifier for training. Two stages...
The double compression of JPEG images is one of the important evidences of image tampering. The paper proposes a novel passive double compressed JPEG image detection algorithm using the moment features of the modes based DCT histogram's characteristic function. Support vector machine is used as the classifier. Experimental results demonstrate that the proposed algorithm significantly increases the...
Bohai Sea, due to its proximity to China's capital Beijing, is one of the busiest seaways in the world. The worst sea ice over the past four decades has covered over 40 percent of the waters of Bohai during this February and March, according to the National Marine Environmental Forecasting Center (NMEFC). The ice has affected marine transport, fishing, aquatic breeding and offshore mining in the area...
This paper presented incremental support vector data description (ISVDD) method and used it to detect anomalies in hyperspectral images. Anomaly detection is essentially a problem of one-class classification, a good solution of which is SVDD, using optimized minimal hypersphere to express tightly the background and using distinguish function to detect anomalous pixels. The method avoided the problem...
Land cover and land use classification with Remote Sensing (RS) image is used broadly in dynamic monitoring of land use. For the RS image classification, the method of BP neutral network with one single hidden layer has been widely used. But the traditional BP neutral network based on gradient descendent of error has low classification rate. It is not easy to converge and often get into local minimum...
The automatic recognition of images has been always one of preceding issues in the filed of remote sensing. From traditional algorithm of K-Means, maximum likelihood to new decision tree, neural networks, wavelet transform and fuzzy recognition system, the classification accuracy has been improved. In this work, based on Decision Tree Classification (DTC) and Landsat ETM+ data, Ejina Oasis land cover...
The changing rules of the landscape elements and their distribution in Shendong coal mining area are analyzed by means of remote sensing images obtained in 2002, 2006, 2009. using support vector machine classification method, it can be classified into six land-use types: water bodies, grassland, shrub land, construction land, desert and Saline soil, bare rock and unused land. The following results...
Using Sequential Hierarchical Classification Method to extract vegetation types information, analyzing land cover types and combinations of each remote sensing image band, dividing the ground objects into different layers, choosing different objects feature parameters and classification methods to extract information on each layer, overlapping all the image layers will obtain the final classification...
The land use and land cover changes have been issues for better understanding human-land relations and sustainable development of regional land sources. This paper was to analyze the land use and land cover changes in new land around Bohai bay with crisp ecosystem and fast development during last 20 years with RS and GIS taking Guangrao county as a case study. In this study, two Landsat TM images...
This paper chooses 85 Ground Truths which include different types of features in ETM, using the ETM data in 2002 and geographic information of vegetation. The NDVI time sequence curves of the Ground Truths were obtained by MODIS data of Shaanxi province in 2003. Decision tree classification method combined with NDVI time sequence curves of Ground Truths was realized the classification of vegetation...
Zhazuo area located in Guizhou Province of southwest China was selected as the test site of this study. Based on six polarimetric RADARSAT-2 images, this paper presents the analysis on polarimetric and temporal variation backscattering behavior of typical targets such as residential areas, farmlands, forests and water bodies within the test site. The multi-temporal polarimetric SAR data fusion, as...
Monitoring of desertification processes by satellite remote sensing is an important task in Xinjiang Uyghur Autonomous Region, the arid and semi-arid region in northeastern China. This paper we used a full year time-series of MODIS imagers with 1km spatial resolution to produce a land cover map with emphasis on sparse vegetation as an indicator of detecting desertification. The best classification...
"What part of the video signal should be coded using what method" is a challenge for Wyner-Ziv video coding (WZVC). The challenge results from that in WZVC the temporal prediction is performed at the decoder, so the encoder hardly determines what part of the signal should be coded using what method. In this paper a novel coefficients classification strategy utilizing both texture information...
The original vegetation-based natural landscape has been gradually replaced by the artificial impervious surface because of the rapid expansion of urban space, it's of great significance to study the fraction of a city's impervious surface for quantitatively describing the heterogeneity of natural cover within the urban land and reasonable urban planning. Based on V-I-S (vegetation - impervious surface...
Through a lot of ground to investigate, collect a large number of semi-fixed, fixed and mobile sand-like region of the corresponding point of the value of the spectrum, the formation of its spectral characteristics of the curve, in combination with TM remote sensing image is reflected in the spectral features characteristic of the sand The type of inter-band gray, as well as changes in the value of...
This paper presents a novel handwriting numeral recognition system based on wavelet and neural network. In the first part, we describe a general Optical Character Recognition (OCR) system and point out that selection of a feature extraction method and design of classifier are the most important factor in achieving high recognition performance in character recognition system. In the Second part, we...
Based on characteristics of clear geometry features in high-spatial resolution remote sensing image, the paper presents a study method of land use/cover by object-oriented classification. The object-oriented classification method overcomes salt and pepper phenomena of conventional classification method by using feature object as basic processing units, which are generated from image segmentation....
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