Mohlo by sa vám tiež páčiť

Viac informácií o knihe Accuracy Analysis of Satellite Image Classification Techniques

• Parametre knihy
• Anotácia kniha
• Obľúbené z iného súdka

Nákupom získate 123 bodov

Anotácia knihy

Recent monsoon failures and reduced rain falls urge the environmental and ecology researchers to concentrate on the land cover changes. Significant and efficient way to monitor the land cover changes is satellite image classification. Classification of land cover changes of the study area are identified as used land, unused land, forest and vegetation. Using different kinds of remote sensing data like LANDSAT and ENVISAT, is an important research area for improving the classification performance. This work describes the combination of remotely sensed data, LANDSAT and ENVISAT images, to improve the classification accuracy. Classification algorithms KNN (K-Nearest Neighborhood) and SVM (Support Vector Machine) are tested for the accuracy and KNN in Embedding Space (KNNES) and SVM in Embedding Space (SVMES) are proposed and tested for the improved accuracy. Accuracy is quantified by reporting standard errors i.e., producer accuracy, user accuracy, omission error and commission error.

Parametre knihy

• Celý názov: Accuracy Analysis of Satellite Image Classification Techniques
• Podnázov: Land Cover Changes using Combined LANDSAT and ENVISAT Images
• Autor: Nagarajan Sureshkumar, Manoharan Arun
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 112
• EAN: 9783330013827
• ISBN: 3330013826
• ID: 15664895
• Nakladateľ: LAP Lambert Academic Publishing
• Hmotnosť: 183 g
• Rozmery: 220 × 150 × 7 mm
• Dátum vydania: 25. December 2016

Obľúbené z iného súdka

---

---

---