MOSAIC
STACK
ALIGN
PIXEL BASE CHANGE DETECTION
CLOUD REMOVAL
HAZE REMOVAL
SLOPE
MACHINE LEARNING DOWNSCALE
IMAGE RESAMPLING
MOSAIC
Recent remote sensing applications play more and more important roles in many fields such as
environmental monitoring, disaster assessment or creating base map for land use land cover.
Therefore, the analyzing remote sensing is moving from single image scene to regional
mosaics
which require several image scenes. However, the quality of mosaic image depends on the
radiometric and geometric characteristics of individual image. Understanding that, with
growing
requirements of this techniques, EOFactory provide a mosaic tool to merge many satellite or
aerial images together.




STACK
Analyzing the deep image in remote sensing can take more precious information such as in
analyzing spectral of object or analyzing time-series images and stack is one of necessary
step to do analyze. EOFactory develops stack tool to combining multiple images into a single
image.



ALIGN
Remote sensing images are growing faster and faster, the information provides for
researchers more and more. That leads the requirement to analyze time series increasing.
This cause the alignment between satellite images more important. Understand the
requirement, EOfactory propose the align tool that means latitude and longitude for all
pixels in warp images will match with base image. Then the geometrically aligns two images
with different geometry will be same coordinate system and present same object.
PIXEL BASE CHANGE DETECTION
The demand for update information about surface is increasing and the data from remote
sensing provide opportunities to acquire information about land at various scale and time
which are useful for change detection analyzing. For this reason, EOF implement pixel base
change detection tool which base on the pixel techniques. An image pixel is analyzed the
spectral characteristics to detect and measure changes.
CLOUD REMOVAL
Cloud cover is the problem in optical image that cause the loss of information in image and
make the difficulty to analyze image. In EOF, the cloud removal tool is presented to take
the information in another image which leads to recover information in cloud covered area.



HAZE REMOVAL
Haze is one of the problem in satellite image which affects the accuracy of data
intelligibility and interpretability. Consequently, haze removal is the important task for
optical image collection. To solve this challenge task, EOF brings Haze removal tool which
calculate the cloud, water and haze mask then using algorithm to remove haze in image



SLOPE
Researching slope play an important role in Geosciences, especially in disaster analysis
like landslide and erosion. To help understanding earth surface more, EOFactory give slope
tool to calculate the steepness at each pixel of image. The lower value means flatter the
terrain; the higher value identify the steeper area.



MACHINE LEARNING DOWNSCALE
Downscale allow prediction at a finer spatial resolution than the initial imagery, this
method also known as super-resolution. However, the tradition method has some problems to
implement like the available the finer map. To solve this problem, EOfactory took advantage
of GAN neuron to build the model help user get the better spatial resolution.
IMAGE RESAMPLING
With increasing remote sensing data, the demands of processing between multiple datasets is
also raising. Thus, it is difficult to analyze with different pixel resolution, ideally the
image data should be the same. The image resampling tool in EOFactory deals with this
problem by using average resampling technique.