EMMCNN: An ETPS-Based Multi-Scale and Multi-Feature Method Using CNN for High Spatial Resolution Image Land-Cover Classification

EMMCNN: An ETPS-Based Multi-Scale and Multi-Feature Method Using CNN for High Spatial Resolution Image Land-Cover Classification

Land-cover information is significant for land-use planning, urban management, and environment monitoring. This paper presented a novel extended topology-preserving segmentation (ETPS)-based multi-scale and multi-feature method using the convolutional neural network (EMMCNN) for high spatial resolut...

Full description

Bibliographic Details
Main Authors: Shuyu Zhang, Chuanrong Li, Shi Qiu, Caixia Gao, Feng Zhang, Zhenhong Du, Renyi Liu
Format: Article
Language:English
Published: MDPI AG 2019-12-01
Series:Remote Sensing
Subjects:
attention-based weighting
convolutional neural network
high spatial resolution image
land-cover classification
multi-scale and multi-feature fusion
superpixel segmentation
Online Access:https://www.mdpi.com/2072-4292/12/1/66

Internet

https://www.mdpi.com/2072-4292/12/1/66

Similar Items