This Letter describes a procedure that incorporates textural measures in the classification of logged forests from Landsat Thematic Mapper data. The objective was to increase classification accuracy by applying recently developed algorithms in machine learning that are fast in training. Three voting classification algorithms, Arc-4x, Adaboost and bagging were also tested. Initial results using ...

Accurate mapping is prepared using Linear unmixing of satellite images. Endmember extraction contributes the unmixing accuracy. In this paper, Endmembers are extracted using different Geometrical algorithms like Pixel Purity Index (PPI), Nearest Finder (N-FINDR) and Sequential Maximum Angle Convex Cone (SMACC) algorithms. Extracted Endmembers are given as input for unmixing and it is attempted ...

Satellite-based multispectral imaging systems have been in operation since 1972 and the latest in the Landsat series of sensors was launched in July 1982. One system parameter of interest is resolution and this paper discusses experiments to determine the actual overall resolution after launch. Atmospheric effects and postprocessing effects add to the prelaunch optical resolution. Scene structu...

We describe the implementation and performance of a parallel, hybrid evolutionary-algorithm-based system, which optimizes image processing tools for feature-finding tasks in multi-spectral imagery (MSI) data sets. Our system uses an integrated spatio-spectral approach and is capable of combining suitably-registered data from different sensors. We investigate the speed-up obtained by paralleliza...

This work is on development of a method for automatic registration of satellite images acquired on different dates, for both geometric and radiometric correction with respect to a reference image. Mutual information statistics is used as the similarity metric of geometric and radiometric registration. Affine and linear transformations are used in geometric and radiometric correction respectivel...

Land use/land cover change and climate have diverse impacts on the water resources of river basins. This study investigated trends land in Nile River Basin. The were analyzed using Mann–Kendall test, Sen’s slope estimator test an innovative trend analysis method. (LULC) was examined Landsat Thematic Mapper (TM) Enhanced (ETM+) with a resolution 30 m during 2012–2022. findings revealed that fore...

The objective of this study was to identify the Spatio-temporal variation in landcover Dhaka city, capital Bangladesh. conducted highlight issues changing land-cover mega cities Bangladesh and its future environmental consequences. Land cover changes temporal maps for selected areas were developed by using multi-temporal information data sets Multispectral Scanner (MSS), Thematic Map (TM), Enha...

Detecting forest degradation from satellite observation data is of great significance in revealing the process decreasing quality and giving a better understanding regional or global carbon emissions their feedbacks with climate changes. In this paper, quick applicable approach was developed for monitoring Three-North Forest Shelterbelt China multi-scale remote sensing data. Firstly, Normalized...