Mask-R-FCN: A Deep Fusion Network for Semantic Segmentation

• Published in: IEEE access Vol. 8; p. 1
• Main Authors: Zhang, Yunfeng, Chi, Mingmin
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Agricultural management; Algorithms; Artificial neural networks; Convolution; Datasets; Deep fusion; Deep semantic segmentation; Feature extraction; Fully convolutional network; Image classification; Image segmentation; Machine learning; Neural networks; Object detection; Object recognition; Remote sensing; Semantic segmentation; Semantics; Water resources management

Remote sensing image classification plays a significant role in urban applications, precision agriculture, water resource management. The task of classification in the field of remote sensing is to map raw images to semantic maps. Typically, fully convolutional network (FCN) is one of the most effec...