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Satellite Imagery

 

Evmolpos operates a full range of integrated and cutting-edge remote sensing technologies on land environments. Our operational capabilities include: digital ortho­photography, hyper­spectral/thermal imaging and GIS support services.

 

In addition to the collection of geospatial data, Evmolpos has developed unique software (custom based Web Gis with open source tools) and internal processes to integrate and manage differing remote sensing datasets into final products.

 

These products have been relied on by industry leading companies for cost-effective solutions for a range of complex applications, including: Electrical Transmission, Energy, Environment, Mining, Pipeline, Transportation and Marine.

Image classification

 

Digital image classification techniques group pixels to represent land cover features. Land cover could be forested, urban, agricultural and other types of features.  There are three main image classification techniques in Remote Sensing:

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  • Unsupervised image classification

  • Supervised image classification

  • Object-based image analysis

 

Pixels are the smallest unit represented in an image. Image classification uses the reflectance for individual pixels. Unsupervised and supervised image classification techniques are the two most common approaches. However, object-based classification has been growing very fast lately.

Image segmentantion

 

Satellite Image segmentation has a most important role to play in the field of remote sensing imaging, for effectively detecting the Surface of the Earth.

In Digital Processing, image segmentation is the process of partitioning a digital image into multiple segments (group of pixels). The goal of segmentation is to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. Image segmentation is typically used to locate objects and boundaries (lines, curves, etc.) in images. More precisely, image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share certain characteristics.

The result of image segmentation is a set of segments that collectively cover the entire image, or a set of contours extracted from the image.

Change detection

 

Detection of changes in the land use occurring over time becomes very valuable information in rapidly changing environments.

High resolution digital aerial imagery can be especially useful for assets managements to identify new, modified or no longer existing objects such as swimming pools, sheds, roads. Multi-temporal Multispectral High resolution digital aerial is used to monitor environmental changes occurring over a specific period of time.

We provide custom change detection services based on our high-resolution digital aerial imagery to fit your project requirements.

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