A ROUGH SET DECISION TREE BASED MLP-CNN FOR VERY HIGH RESOLUTION REMOTELY SENSED IMAGE CLASSIFICATION

A ROUGH SET DECISION TREE BASED MLP-CNN FOR VERY HIGH RESOLUTION REMOTELY SENSED IMAGE CLASSIFICATION

Recent advances in remote sensing have witnessed a great amount of very high resolution (VHR) images acquired at sub-metre spatial resolution. These VHR remotely sensed data has post enormous challenges in processing, analysing and classifying them effectively due to the high spatial complexity and...

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Bibliographic Details
Main Authors: C. Zhang, X. Pan, S. Q. Zhang, H. P. Li, P. M. Atkinson
Format: Article
Language:English
Published: Copernicus Publications 2017-09-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W7/1451/2017/isprs-archives-XLII-2-W7-1451-2017.pdf

Internet

https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W7/1451/2017/isprs-archives-XLII-2-W7-1451-2017.pdf

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