This paper presents an architecture of a system for content-based retrieval of remotesensingimages (RSI). This architecture relies on combining results from imageprocessing, patternrecognition and Multimedia Datab...
详细信息
This paper presents an architecture of a system for content-based retrieval of remotesensingimages (RSI). This architecture relies on combining results from imageprocessing, patternrecognition and Multimedia Databases. RSI retrieval from a database is based on the notion of image similarity. A novel aspect in the paper is that the degree of similarity among images is refined during a query session, and is computed dynamically based on user-provided texture and color imagepatterns, as well as information on how images were pre-processed before being stored in the database.
An all new type of absolute, optical encoder with ultra-high sensitivity has been developed at NASA's Goddard Space Flight Center.(1) These position measuring encoders are unconventional in that they rely on compu...
详细信息
ISBN:
(纸本)0819437581
An all new type of absolute, optical encoder with ultra-high sensitivity has been developed at NASA's Goddard Space Flight Center.(1) These position measuring encoders are unconventional in that they rely on computational patternrecognition of high speed, electronic images made of a moving, backlit scale which carries absolute position information of either linear or rotary format. The patternrecognition algorithms combine edge detection, threshold level sensing, spatial compression, and centroiding along with fault recovery through scale image defect detection. Details of the encoder scale patterns and their design rules and the imageprocessing algorithm which gives these encoders their unique and unparalleled performance characteristics are discussed.
In this paper, we first derived the average energy of sub-image blocks from wavelet decomposition, get the texture and structural features in multi-scale signal of object on digital airphoto, then describe how to cons...
详细信息
ISBN:
(纸本)0964345692
In this paper, we first derived the average energy of sub-image blocks from wavelet decomposition, get the texture and structural features in multi-scale signal of object on digital airphoto, then describe how to construct the parameters of sub-image blocks to recognize objects, lastly we make use of texture and structure, with spectrum features to classify digital airphoto and recognize ground objects. The experiments show that the method of feature extraction based on wavelet transform can be applied to airphoto.
A methodology based on mathematical morphology to classify for cst cover types in remotesensingimages is presented. The information automatically extracted at higher scales (aerial photographs) by morphological segm...
详细信息
ISBN:
(纸本)0769507506;0769507514
A methodology based on mathematical morphology to classify for cst cover types in remotesensingimages is presented. The information automatically extracted at higher scales (aerial photographs) by morphological segmentation approaches is afterwards used to classify different forest cover types at lower scales (satellite images). In this methodology the spectral process is guided by the spatial process, once the previous segmentation of the different textural elements is then used ill the classification procedure, whose the geometrical modelling of rite shape of the training sets of points is also performed. Tests were done in a region of centre Portugal using aerial photographs and Landsat TM images for olive, corkoak, pine and eucalyptus trees.
Clustering has been widely used in areas as patternrecognition, Data Analysis and imageprocessing. Recently, clustering algorithms have been recognized as one of a powerful tool for Data Mining. However, the well-kn...
详细信息
Clustering has been widely used in areas as patternrecognition, Data Analysis and imageprocessing. Recently, clustering algorithms have been recognized as one of a powerful tool for Data Mining. However, the well-known clustering algorithms offer no solution to the case of Large Mixed Incomplete Data Sets. In this paper we comment the possibilities of application of the methods, techniques and philosophy of the Logical Combinatorial approach for clustering in these kinds of data sets. We present the new clustering algorithm DGLC for discovering β0-density connected components from large mixed incomplete data sets. This algorithm combines the ideas of Logical Combinatorial patternrecognition with the Density Based Notion of Cluster. Finally, an example is showed in order to illustrate the work of the algorithm.
The field of wavelets has opened up new opportunities;for the compression of satellite sensor imagery. This paper examines the influence of wavelet compression on the automatic classification of urban environments. Ai...
详细信息
ISBN:
(纸本)0769507514
The field of wavelets has opened up new opportunities;for the compression of satellite sensor imagery. This paper examines the influence of wavelet compression on the automatic classification of urban environments. Ail borne laser scanning data is introduced as an additional channel alongside the spectral channels of colour infrared imagery. This effectively integrates the local height and multi-spectral information sour-ces. To incorporate conte,ut information, the feature base is expanded to include both spectral and non-spectral features. A maximum likelihood classification approach is then applied. It is demonstrated that the classification of urban scenes is considerably improved by fusing multi-spectral and geometric data sets. The fused imagery is then systematically compressed (channel by channel) at compression rates ranging from 5 to 100 using a wavelet-based algorithm. The compressed imagery is then classified using the approach described here-above. Analysis of the results obtained indicates that a compression rate of up to 20 can convieniently be employed without adversely affecting the segmentation results.
The aim of our report is to show the possibility of mathematical modeling of patternrecognition as information processing in human memory Mathematical model of information processing in human memory for description s...
详细信息
WE have developed a novel visual sensing system that monitors respiration for 24 hours non-restrictively. The principle of the system is inter-image subtraction. Compared with conventional methods, the system has adva...
详细信息
ISBN:
(纸本)0769507506;0769507514
WE have developed a novel visual sensing system that monitors respiration for 24 hours non-restrictively. The principle of the system is inter-image subtraction. Compared with conventional methods, the system has advantages which make it suitable for a long-term monitoring: 1) patients experience no physiological burden during sleep, 2) no manual operation is necessary since at has self-optimizing functions for imageprocessing and 3) it judges patient's sleep condition adequately using statistical analysis. The system thus can be applied to predict abnormality of health conditions, and thus for example, alert care providers so that action can be taken with a view to preventing the sudden death of elderly people or, in case of children, to prevent occurrence of sudden infant death syndrome. It can be also applied to the detect clinically dangerous sleep apnea syndrome. Experimental results in a nursing home for the aged have shown the efficiency of the system.
Over the past years, digital imagery applications had a strong growth. In scientific fields, this technology is fast becoming mainstream in many applications and is implanted solidly in remotesensing domain. This fac...
详细信息
In the year 1996 Aero-sensing Radarsysteme GmbH designed and manufactured the AeS-1 airborne X-band Interferometric Synthetic Aperture Radar (InSAR) system, capable of generating images with a ground resolution up to ...
详细信息
暂无评论