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Thursday, 15 January 2026

Category: M.Tech Projects Matlab

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…
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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…
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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…
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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.…
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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…
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