Unsupervised Land Cover Change Detection: Meaningful Sequential Time Series Analysis
نویسندگان
چکیده
منابع مشابه
Land Cover Change Detection Using Texture Analysis
Problem statement: It is an important task to detect land cover changes from remotely sensed data for environmental monitoring. Although there are some applications of visual textures to the land use, they are limited to a few land cover categories with the application of one texture measure. Since land cover types are complex and often the integration of various objects, applying one texture m...
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Land cover/land use categories are relevant components in land management. Understanding how land cover/land use change over time is necessary to assess the consequences of humans and natural stressors on the earth’s environment and resources. The aim of the study was to map and monitor the spatial and temporal change in land cover/land use for the periods of 1977, 1991 and 2016 and to predict ...
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Despite the existence of long term remotely sensed datasets, change detection methods are limited and often remain an obstacle to the effective use of time series approaches in remote sensing applications to Land Change Science. This paper establishes some simple statistical tests to be applied to NDVI-derived time series of remotely sensed data products. Specifically, the methods determine the...
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The paper shows that a Multi-layer Perceptron (MLP) operating on a sliding window of multi-spectral MODIS timeseries data is able to detect simulated change which was introduced by concatenating timeseries of two pixels belonging to two different land cover types. This approach requires training data and is thus supervised. An unsupervised change detection method is proposed based on a non-line...
متن کاملA Study of Time Series Noise Reduction Techniques in the Context of Land Cover Change Detection
Remote sensing data sets frequently suffer from noise due to atmospheric conditions and instrument issues. This noise negatively affects the usability of these data sets and therefore noise reduction techniques are frequently used to reduce the impact of noise. A well-known remote sensing data set, MODIS Enhance Vegetation Index (EVI), measures the amount of vegetation (based on surface reflect...
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ژورنال
عنوان ژورنال: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
سال: 2011
ISSN: 1939-1404,2151-1535
DOI: 10.1109/jstars.2010.2053918