This paper proposes a new fusion scheme, which combines three types of image simultaneously, based on two fusion methods: bidimensional empirical mode ...
Abstract. Most bamboo forests grow in humid climates in low-latitude tropical or subtropical monsoon areas, and they are generally located in hilly areas.
BEMD maintains spatial frequency 3.2–4.0 higher than other methods. The experimental results showed the proposed fusion scheme could improve the accuracy of ...
The average gradient of BEMD is 4%–6% greater than for other methods. BEMD maintains spatial frequency 3.2–4.0 higher than other methods. The experimental ...
... Mode Decomposition (BEMD) and Its Application to the Extraction of Bamboo Forest. ... Remote Sensing Imagery Fusion Scheme Based on Bidimensional Empirical ...
Assessing the efficacy of remote sensing data of various types in extracting bamboo forest information from bright and shadow areas is a critical issue for ...
In this paper we consider to add SAR image information in classification. Bidimensional empirical mode decomposition (BEMD) has been widely applied to the ...
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Multisource remote sensing imagery fusion scheme based on bidimensional empirical mode decomposition (BEMD) and its application to the extraction of bamboo ...
Multisource Remote Sensing Imagery Fusion Scheme Based on Bidimensional Empirical ... Decomposition (BEMD) and Its Application to the Extraction of Bamboo Forest ...
Multisource Remote Sensing Imagery Fusion Scheme Based on Bidimensional Empirical Mode Decomposition (BEMD) and its Application to the Extraction of Bamboo ...