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portada Automatic Detection of Flood Using Remote Sensing Data
Type
Physical Book
Author
Publisher
Language
English
Pages
56
Format
Paperback
Dimensions
22.9x15.2x0.3 cm
Weight
0.10 kg.
ISBN13
9786202801010
Categories

Automatic Detection of Flood Using Remote Sensing Data

Jagannath Jadhav (Author) · Prof Amruta Sonavale (Author) · LAP Lambert Academic Publishing · Paperback

Automatic Detection of Flood Using Remote Sensing Data - Jadhav, Jagannath ; Sonavale, Prof Amruta

New Book Imported to Taiwan
Delivery: 16 Oct - 26 Oct Shipping: 14 to 15 business days.
NT$ 1,543
NT$ 1,543

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Synopsis "Automatic Detection of Flood Using Remote Sensing Data"

Flood detection system process like the four different kinds of preprocessing, segmentation, feature extraction and the Contiguous deep Convolutional neural network (CDCNN) has been executed for identifying the flood defected region. CDCNN the implementation of proposed large-scale data sets can automatically pass through the histological characteristics of several layers of neurons, and has the ability to implement the non-linear decision-making functions. This work also investigates and compare with the possible methods for accurately identified by the classification with the proposed CDCNN details of the RSI. The performance analysis of the proposed model is verified in 2017 B mat lab environment. Based on the different features like precision, recall and F-measure accuracy analysis of the proposed system performance simulation system.

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