Matlab-Projects, Author at MATLAB PROJECTS

Contribution of Raman Scattering in Remote Sensing Retrieval of Suspended Sediment Concentration by Empirical Modeling

Posted on February 2, 2016 by Matlab-Projects |

In this paper, the author investigates the effect of Raman scattering on remotely sensed suspended sediment concentration (SSC) through the analysis of various SSC retrieval models in the coastal waters (Case 2)…

Remote Sensing Image Fusion Using Ripplet Transform and Compressed Sensing

Posted on February 2, 2016 by Matlab-Projects |

In this letter, we propose a novel remote sensing image fusion method based on the ripplet transform and the compressed sensing (CS) theory. The ripplet transform generalizes the curvelet transform by adding two parameters, namely,…

Remote Sensing Image Segmentation Based on an Improved 2-D Gradient Histogram and MMAD Model

Posted on February 2, 2016 by Matlab-Projects |

A novel remote sensing image segmentation algorithm based on an improved 2-D gradient histogram and minimum mean absolute deviation (MMAD) model is proposed in this letter. We extract the global features as a…

Haze Removal for a Single Remote Sensing Image Based on Deformed Haze Imaging Model

Posted on February 2, 2016 by Matlab-Projects |

The contrast of remote sensing images captured in haze condition is poor, which influences their interpretation. In this letter, a novel dehazing algorithm based on the deformed haze imaging model is proposed. First,…

Domain Adaptation for Remote Sensing Image Classification: A Low-Rank Reconstruction and Instance Weighting Label Propagation Inspired Algorithm

Posted on February 2, 2016 by Matlab-Projects |

This paper presents a framework for a semisupervised domain adaptation method for remote sensingimage classification. Most of the representation-based domain adaptation methods attempt to find a total transformation matrix for all the…

Semantic Segmentation of Remote Sensing Imagery Using Object-Based Markov Random Field Model With Regional Penalties

Posted on February 2, 2016 by Matlab-Projects |

This paper proposes a novel object-based Markov random field model (OMRF) for semantic segmentation of remote sensing images. First, the method employs the region size and edge information to build a weighted region…

Ensemble Multiple Kernel Active Learning For Classification of Multisource Remote Sensing Data

Posted on February 2, 2016 by Matlab-Projects |

Incorporating disparate features from multiple sources can provide valuable diverse information forremote sensing data analysis. However, multisource remote sensing data require large quantities of labeled data to train robust supervised classifiers, which are often difficult…

Shannon entropy based fuzzy distance norm for pixel classification in remote sensing imagery

Posted on February 2, 2016 by Matlab-Projects |

Pixel classification of mixed pixels in overlapping regions of remote sensing images is a very challenging task. Efficiency and detection of uncertainty are always the key ingredients for this task. This paper proposes…

Estimating the Bulk Refractive Index and Related Particulate Properties of Natural Waters From Remote-Sensing Data

Posted on February 2, 2016 by Matlab-Projects |

A proof-of-concept method is developed to estimate bulk refractive index () of particles for deriving information on their composition and optical properties of natural waters using satellite ocean color data.…

Adaptive artificial bee colony based parameter selection for subpixel mapping multiagent system in remote-sensing imagery

Posted on February 2, 2016 by Matlab-Projects |

Remote sensing has become an important source of land use/cover information at a range of spatial and temporal scales. The existence of mixed pixels is a major problem in remote-sensing image classification. Although the…