Suchergebnisse

Dissertação de mestrado em Matemática e Computação ; Portuguese legislation states the compulsory reporting of the addition of amenities, such as swimming pools, to the Portuguese tax authority. The purpose is to update the property tax value, to be charged annually to the owner of each real estate. According to Technavio and Market- Watch, this decade will bring a global rise to the number of swimming pools due to certain factors such as: cost reduction, increasing health consciousness, and others. The need for inspections to ensure that all new constructions are communicated to the competent authorities is therefore rapidly increasing and new solutions are needed to address this problem. Typically, supervision is done by sending human resources to the field, involving huge time and resource consumption, and preventing the catalogue from updating at a rate close to the speed of construction. Automation is rapidly becoming an absolute requirement to improve task efficiency and affordability. Recently, Deep Learning algorithms have shown incredible performance results when used for object detection tasks. Based on the above, the objective of this thesis is to study the various existing object detection algorithms and implement a Deep Learning model capable of recognising swimming pools from satellite images. To achieve the best results for this specific task, the RetinaNet algorithm was chosen. To provide a smooth user experience with the developed model, a simple graphical user interface was also created. ; A legislação Portuguesa declara a obrigatoriedade da comunicação de novas construções, como piscinas, à Autoridade Tributária e Aduaneira. Esta comunição permite o ajustamento do Imposto Municipal sobre Imóveis a pagar anualmente pelo proprietário. De acordo com o Technavio e o MarketWatch, irá ocorrer um aumento significativo do número de piscinas devido a vários fatores como a redução do custo da construção, o aumento da consciência para a adoção de um estilo de vida saudável, entre outros. Isto leva à ...

One of the important breakthroughs, image processing is the stand alone, non-human image understanding system (IUS). The task of understanding images becomes monumental as one tries to define what understanding really is. Both pattern recognition and artificial intelligence are used in addition to traditional signal processing. Scene analysis procedures using edge and texture segmentation can be considered as the early stages of image understanding process. Symbolic representation and relationship grammers come at subsequent stages. Thus it is not reasonable to put a man into a loop of signal processing at certain sensors such as remotely piloted vehicles, satellites and spacecrafts. Consequently smart sensors and semi-automatic processes are being developed. Land remote sensing has been another important application of the image processing. With the introduction of programmes like Star Wars this particular application has gained a special importance from the Military's point of view. This paper provides an overview of digital image processing and explores the scope of the technology of remote sensing and IUSs from the Military's point of view. An example of the autonomous vehicle project now under progress in the US is described in detail to elucidate the impact of IUSs.