Title | ||
---|---|---|
Superpixel-Based Multiple Local CNN for Panchromatic and Multispectral Image Classification. |
Abstract | ||
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Recently, very high resolution (VHR) panchromatic and multispectral (MS) remote-sensing images can be acquired easily. However, it is still a challenging task to fuse and classify these VHR images. Generally, there are two ways for the fusion and classification of panchromatic and MS images. One way is to use a panchromatic image to sharpen an MS image, and then classify a pan-sharpened MS image. ... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/TGRS.2017.2689018 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Feature extraction,Machine learning,Image color analysis,Remote sensing,Image segmentation,Semantics,Neural networks | Convolutional neural network,Remote sensing,Image segmentation,Artificial intelligence,Cluster analysis,Computer vision,Pattern recognition,Softmax function,Panchromatic film,Multispectral image,Feature extraction,Pixel,Mathematics | Journal |
Volume | Issue | ISSN |
55 | 7 | 0196-2892 |
Citations | PageRank | References |
11 | 0.57 | 26 |
Authors | ||
8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Wei Zhao | 1 | 134 | 15.36 |
Licheng Jiao | 2 | 5698 | 475.84 |
Wenping Ma | 3 | 37 | 4.61 |
Jiaqi Zhao | 4 | 117 | 15.77 |
Jin Zhao | 5 | 46 | 3.90 |
Hongying Liu | 6 | 20 | 4.09 |
Xianghai Cao | 7 | 27 | 2.49 |
Shuyuan Yang | 8 | 53 | 7.60 |