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Machine Learning based Image Processing Techniques for Satellite Image Analysis -A Survey

https://doi.org/10.1109/comitcon.2019.8862452

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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A novel algorithm of remote sensing image fusion based on shift-invariant Shearlet transform and regional selection

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A social spider optimized image fusion approach for contrast enhancement and brightness preservation

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Modified differential evolution algorithm for contrast and brightness enhancement of satellite images

inferredcites →https://doi.org/10.1016/j.cageo.2016.12.013openalex-snapshot

On the use of feature selection to improve the detection of sea oil spills in SAR images

inferredcites →https://doi.org/10.1016/j.compeleceng.2017.08.008openalex-snapshot

A new technique for multilevel color image thresholding based on modified fuzzy entropy and Lévy flight firefly algorithm

inferredcites →https://doi.org/10.1016/j.compeleceng.2017.11.004openalex-snapshot

A flexible contrast enhancement method with visual effects and brightness preservation: Histogram planting

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A novel optimally weighted framework of piecewise gamma corrected fractional order masking for satellite image enhancement

inferredcites →https://doi.org/10.1016/j.eswa.2016.03.032openalex-snapshot

An efficient cuckoo search algorithm based multilevel thresholding for segmentation of satellite images using different objective functions

inferredcites →https://doi.org/10.1016/j.ins.2016.02.021openalex-snapshot

Scene classification using local and global features with collaborative representation fusion

inferredcites →https://doi.org/10.1016/j.ins.2017.09.010openalex-snapshot

A novel multi-modality image fusion method based on image decomposition and sparse representation

inferredcites →https://doi.org/10.1016/j.isprsjprs.2016.10.010openalex-snapshot

MRF-based segmentation and unsupervised classification for building and road detection in peri-urban areas of high-resolution satellite images

inferredcites →https://doi.org/10.1016/j.isprsjprs.2017.01.012openalex-snapshot

Forest point processes for the automatic extraction of networks in raster data

inferredcites →https://doi.org/10.1016/j.isprsjprs.2017.04.015openalex-snapshot

Poor textural image tie point matching via graph theory

inferredcites →https://doi.org/10.1016/j.isprsjprs.2017.06.001openalex-snapshot

A review of supervised object-based land-cover image classification

inferredcites →https://doi.org/10.1016/j.isprsjprs.2017.11.009openalex-snapshot

Classification with an edge: Improving semantic image segmentation with boundary detection

inferredcites →https://doi.org/10.1016/j.isprsjprs.2017.11.017openalex-snapshot

Angular difference feature extraction for urban scene classification using ZY-3 multi-angle high-resolution satellite imagery

inferredcites →https://doi.org/10.1016/j.isprsjprs.2017.11.019openalex-snapshot

Uniform competency-based local feature extraction for remote sensing images

inferredcites →https://doi.org/10.1016/j.jvcir.2016.11.017openalex-snapshot

Satellite image classification using Genetic Algorithm trained radial basis function neural network, application to the detection of flooded areas

inferredcites →https://doi.org/10.1016/j.neucom.2017.12.039openalex-snapshot

Saliency detection and region of interest extraction based on multi-image common saliency analysis in satellite images

inferredcites →https://doi.org/10.1016/j.patcog.2017.06.036openalex-snapshot

Multi-modal feature fusion for geographic image annotation

inferredcites →https://doi.org/10.1016/j.renene.2016.05.066openalex-snapshot

The application of Bayesian network classifiers to cloud classification in satellite images

inferredcites →https://doi.org/10.1016/j.sysarc.2015.11.006openalex-snapshot

Real-time continuous feature extraction in large size satellite images

inferredcites →https://doi.org/10.1109/tgrs.2017.2743243openalex-snapshot

Learning Multiscale Deep Features for High-Resolution Satellite Image Scene Classification

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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FLOP-Reduction Through Memory Allocations Within CNN for Hyperspectral Image Classification

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Deep Learning Algorithms for Satellite Image Processing: Past, Present and Future

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Object Delineation in Satellite Images

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Climate Change Analysis Based on Satellite Multispectral Image Processing in Feature Selection Using Reinforcement Learning

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