Papers by Warinthorn Kiadtikornthaweeyot
Thailand youth innovation internship program: Satellite telecommunication engineer
Onboard computer technology for cubesats
This thesis addresses the problem of cubesat limitations on transmission power and onboard memory... more This thesis addresses the problem of cubesat limitations on transmission power and onboard memory storage. The number of small satellites is continuing to increase. The reduced amount of time and budget required for the development of these satellites has considerable advantages. The short time leads to data becoming available faster than from a larger satellite. Consequently, the communication system is very important to ensure that all data from the cubesat can be transmitted to the receiving station. In this thesis the link budget of a cubesat has been studied to identify the constraints on power and data transmission. As cubesat satellites become more complex, additional constraints and requirements are placed on system components. For more complex missions, greater flexibly of the onboard computer architecture is required to support the mission adaptation or changing specifications of onboard devices. Alternative onboard computer architecture for the next generation of cubesats...
Automatic detection of forest fire burnt scar from Landsat-8 image of northern part of Thailand
2018 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2018
Earth observation satellite imaging is considered as an excellent tool to extract the Earth’s sur... more Earth observation satellite imaging is considered as an excellent tool to extract the Earth’s surface information. Forest fire burnt scars are a spectacular problem for land surface analysis. Fire burnt scar mapping is very important to be able to identify these areas. The damage assessment is necessary for fire management planning. This paper presents the algorithm for forest fire burnt scar coverage assessment using Normalized Burn Rate, and image classification based on mathematical morphology of Landsat-8 satellite images. The objective is to accurately determine the area of forest fire burnt scar in the optical satellite images, which is improved from the existing algorithms. In addition, a comparison of the Normalized Burn Rate before versus after the fire in the analyzed area has been studied. Also, a comparison of the proposed algorithm and the shape file from the operation team has been discussed in this paper.
ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
High resolution satellite imaging is considered as the outstanding applicant to extract the Earth... more High resolution satellite imaging is considered as the outstanding applicant to extract the Earth’s surface information. Extraction of a feature of an image is very difficult due to having to find the appropriate image segmentation techniques and combine different methods to detect the Region of Interest (ROI) most effectively. This paper proposes techniques to classify objects in the satellite image by using image processing methods on high-resolution satellite images. The systems to identify the ROI focus on forests, urban and agriculture areas. The proposed system is based on histograms of the image to classify objects using thresholding. The thresholding is performed by considering the behaviour of the histogram mapping to a particular region in the satellite image. The proposed model is based on histogram segmentation and morphology techniques. There are five main steps supporting each other; Histogram classification, Histogram segmentation, Morphological dilation, Morphologica...
Automatic Detection of a Region of Interest in a Satellite Image
A real scene observed from a satellite image contains a variety of features, textures and shadows... more A real scene observed from a satellite image contains a variety of features, textures and shadows and it can therefore be very complex to detect the region of interest (ROI). The ROI of a satellite image depends on the application field for Earth observation. Therefore image segmentation has been developed for extracting different features or textures inside an image. This can be performed a number of different ways using the image properties. Extraction of a feature of an image is very difficult to find the appropriate image segmentation techniques and combine different methods to detect the ROI most effectively. This paper proposes techniques to classify objects in the satellite image by using image processing methods on high-resolution satellite images. The systems to identify the ROI are performed automatically and focus on the ROI of coastlines, forests, urban areas and agriculture. Three different methods to detect the ROI of the satellite images have been studied, implemented...
2016 13th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2016
The Earth observation optical image is considered as the excellent applicant to extract the Earth... more The Earth observation optical image is considered as the excellent applicant to extract the Earth's surface information. Cloud cover is a spectacular problem for land surface analysis. False detection and analysis typically results for even small percentages of cloud cover. Therefore knowing the percentage of cloud in the image is constructive for the user to allow for selection of those images that contain an acceptable amount of cloud cover (and therefore error) for their application. This paper presents the algorithm for cloud cover assessment using ROI (region of interest) image classification based on histogram segmentation for THEOS satellite images. The objective is to accurately determine the percentage of cloud cover in the optical satellite image, which is improved from the existing algorithm developed. In addition the morphology structure element is used in the algorithm. A study on the appropriate shape and size of structure element is required and has been discussed in this paper.
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Papers by Warinthorn Kiadtikornthaweeyot