Importance Of Image Preprocessing - 1204 Words

3.2.1 Preprocessing Image preprocessing activity is compulsory for obvious reason that satellite images are subject to various distortions. Preprocessing activities such as image sub-setting or clipping by the study area, re-projection, and image panning or resolution merge are performed for all images in order for all images be ready for use. Preprocessed level 1 Satellite images were obtained from NASA Earth Explorer web site for this study. The images were downloaded from USGS Landsat archive web site and layer stacked after extracting the compiled file. Image selection and preference of seasons was based on, one for its free availability of the data and the other it was free from cloud coverage. After data acquisition, image to†¦show more content†¦Hyperspectral Color Sharpening was first designed for WorldView 2 sensor 8 band data, but the algorism works with any multispectral data containing 3 bands or more. Hence, after all the processes, a better 5m resolution images were generated for each year that are found to be better interpretable. Therefore, all preprocessing activities helped a lot to get a better quality image which improves the interpretation and classification processes in the later stages. 3.2.2 Image Classification After all the pre-processing activities, one of the actual work of the study is image classification which is the basis for change detection activity. Classification is one of the seven change detection mechanisms and supervised classification was employed for this study. Supervised classification requires the selection of training areas to get accurate classification output. It is profoundly based on the quality and quantity of training samples to produce good quality classification results. Fig 3.4 Landsat images after preprocessed and pan sharpened with SPOT 5 image. In supervised classification, identifying feature cover types, selecting high-quality and sufficiently numerous training sample sets is the time consuming and one of the major challenges that the investigators face during digital imageShow MoreRelatedEmotion Detection Using Sobel Filtering And Retrieving With Sparse Code Words2097 Words   |  9 PagesAurangabad, Maharashtra ABSTRACT : Extracting and understanding of emotion is of high importance for the interaction among human and machine communication systems. The most expressive way to display the human’s emotion is through facial expression analysis. This paper presents and implements an automatic extraction of facial expression and emotion from still image. There are steps to detect the facial emotion; (1) Preprocessing,skin color segmentation and edge detection using Sobel filtering and (2) VerifyingRead MoreTypes of Image Compression for Medical Imaging Essay1480 Words   |  6 PagesMedical imaging, as we all know, is the process of taking images of various parts of the human body for diagnostic and surgical purposes. Some of the popular medical imaging modalities are X-ray radiography, Magnetic resonance imaging, Medical ultrasound, Computed tomography etc. Since, these images contain clinical data of extreme importance for treatment follow-ups and are acquired at cost of radiation exposure, infr astructure, money and time involved. Thus, once acquired, the medical imaging dataRead MoreTaking a Look at Image Processing3018 Words   |  12 Pages Image Processing is a technique to enhance raw images received from cameras/sensors placed on satellites, space probes and aircrafts or pictures taken in normal day-today life for various applications. Various techniques have been developed in Image Processing during the last four to five decades. Most of the techniques are developed for enhancing images obtained from unmanned spacecrafts, space probes and military reconnaissance flights. Image Processing systems are becoming popular dueRead MoreA Brief Note On Web Mining And Web Materials Essay2441 Words   |  10 Pagesis the process to predict the web pages visited by the user based on the previously visited by the other users. The web pages may not only contain textual content but also other types of web data which may also audio files, video files and images. The impo rtance of web prediction from the search and recommendation systems can be made more effective through the use and the improvement of web prediction. Application of Web Mining is: †¢ Personalization of web content. †¢ System Improvement. †¢ SecurityRead MoreComputational Advances Of Big Data1147 Words   |  5 Pagesmeasuring and analyzing non selected features. Based on a certain criteria this technique selects a subset of original features and discards the rest. Since big data includes large amount of inconsistent, incomplete, and noisy data, a number of data preprocessing techniques, including data cleaning, data integration, data transformation and data reduction, can be applied to remove noise and correct inconsistencies [5]. A good amount of feature selection algorithms of different models have been developedRead MoreRole Of Service Quality And Relational Benefits On Customer Satisfaction Essay1553 Words   |  7 Pagesdimension was a key determinant of a customer assessment of service quality in the auto insurance industry in Thailand. And there was a linear relationship between customer satisfactions, perceived service quality of the company, perception of company image and customer repurchase intenti ons was found to have a positive significant relationship. His study also indicated that there is no significant relationship between customer loyalty and customer satisfaction. The paper found that the size of the insuranceRead MoreCurse of Dimensionality Makes CBIR System is Necessary for Storage and Retrieval2761 Words   |  12 Pagesnumber of examples necessary to reliable generalization grows exponentially with the number of dimensions. Learn ability necessitates dimensionality reduction, which is the process of reducing the number of random features under consideration during image retrieval (Roweis and Saul, 2000). In large multimedia databases, high-dimensional representation is computationally intensive and most users are unwilling to wait for results for a long time. Thus, for storage and retrieval efficiency concerns, dimensionalityRead MoreThe Natural Language Processing ( Nlp )3111 Words   |  13 Pagesnewspaper. 1.1.2: Machine translation [b]: Automatically translate language from one human to another human. 1.1.4 Optical Character Recognition [b]: Optical Character Recognition is a process mechanical or electronic conversion of scanned or photographic image of typewritten or printed text into machine encode or computer readable text. 1.1.4 Speech recognition [b]: In speech recognition take a sound clip of the person and determine the textual representation of speech. 1.1.5 Speech segmentation [b]: InRead MoreThe Visual Recognition Of Image Patterns2724 Words   |  11 PagesAs a scientific discipline, computer vision is concerned with the extraction of information from images to be employed in a decision making process. The image data can take many forms, such as video sequences, still images, digitized maps, diagrams and sketches. These images may be in colour format, grey scale or in binary format. The common approach is to extract characteristic features from the image either in the spatial domain or in some suitable transform domain. Whether the goal is classificationRead MoreExamining The Functional Connectivity Of A Whole Brain Atlas1722 Words   |  7 Pagesof this technology and methodology can be found in both neurology research for deeper understanding of brain structure and function and for determining the effects of disease and outside influences on the brain. Sources have already examined the importance of functional connectivity in Alzheimer’s disease (Grady, et al. 2001) and anesthesia effectiveness (Nallasamy, et al. 2011). This kind of deeper understanding of disease could lead to improved methods of treating the many brain related disorders