9786200486509 - Satellite Cloud Image Retrieval by using Different Methods de Chandraprakash, D.; Kshirsagar, Pravin; Narayana, M. (5 resultados)

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Satellite captures thousand of images everyday but all of them are not useful to us and only some of the images are utilized for our need. The challenging task in this project is to retrieve the useful image from the satellite image database which is done by various techniques. Content based image retrieval is the important tool to search the necessary image from the satellite database which is similar to the query image using 2 feature techniques namely shape features and text features respectively. Generally, different cloud images having different shapes based on the weather condition. In chapter 3, the rainfall is estimated using shape features in CBIR which is based on the shape of the cloud image captured from the satellite. In chapter 4, it describes the retrieval of satellite images from the satellite database. It allows the user to search the image from the database based on the texture feature. Texture features are estimated using Gray level Co-occurrence Matrix and the Euclidean distance metric is estimated for the similarity between the satellite images. The system performance is estimated by analyzing the retrieval result using precision. 304 pp. Englisch.

Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chandraprakash D.1.Dr. D. Chandraprakash working as an Associate Professor in K.G Reddy College of Engineering and Technology, Hyderabad.2. Dr. Pravin Kshirsagar currently working as a Professor and Head ECE in K.G. Reddy College of .

Taschenbuch. Condición: Neu. Satellite Cloud Image Retrieval by using Different Methods | D. Chandraprakash (u. a.) | Taschenbuch | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200486509 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Satellite captures thousand of images everyday but all of them are not useful to us and only some of the images are utilized for our need. The challenging task in this project is to retrieve the useful image from the satellite image database which is done by various techniques. Content based image retrieval is the important tool to search the necessary image from the satellite database which is similar to the query image using 2 feature techniques namely shape features and text features respectively. Generally, different cloud images having different shapes based on the weather condition. In chapter 3, the rainfall is estimated using shape features in CBIR which is based on the shape of the cloud image captured from the satellite. In chapter 4, it describes the retrieval of satellite images from the satellite database. It allows the user to search the image from the database based on the texture feature. Texture features are estimated using Gray level Co-occurrence Matrix and the Euclidean distance metric is estimated for the similarity between the satellite images. The system performance is estimated by analyzing the retrieval result using precision.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 304 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Satellite captures thousand of images everyday but all of them are not useful to us and only some of the images are utilized for our need. The challenging task in this project is to retrieve the useful image from the satellite image database which is done by various techniques. Content based image retrieval is the important tool to search the necessary image from the satellite database which is similar to the query image using 2 feature techniques namely shape features and text features respectively. Generally, different cloud images having different shapes based on the weather condition. In chapter 3, the rainfall is estimated using shape features in CBIR which is based on the shape of the cloud image captured from the satellite. In chapter 4, it describes the retrieval of satellite images from the satellite database. It allows the user to search the image from the database based on the texture feature. Texture features are estimated using Gray level Co-occurrence Matrix and the Euclidean distance metric is estimated for the similarity between the satellite images. The system performance is estimated by analyzing the retrieval result using precision.