The Study To The Unhabitted Islands And Its Human Activity Characteristics Based On Remote Sensing

The uninhabited islands aren’t the resident registration address. The majority of Chinese uninhabited islands have unique location, rich species, unique landscapes and other unique natural environment. Some of the islands also have rich heritage and unique religious and cultural characteristics, etc. Especially, some of the islands which are far way from mainland could be defending the motherland. For a long time, the lack of support for higher-level laws and the development of uninhabited islands haven’t been planned well. As a result, the ecological environment of some uninhabited islands is extensively degraded and severely damaged. With the promulgation and implementation of Island Protection Law, the island ecosystem, national maritime rights and interests could be protected if the development, utilization and protection of uninhabited island could be monitored dynamically by remote sensing.Remote sensing has many advantages, including access to a large range of data, faster access to information, especially the spatial resolution of remote sensing images improved quickly. In the high-resolution images, not only more obvious features of the spectrum, and its landscape structure, shape, texture and details and other information are also very prominent. Therefore, the high-resolution images could be used to monitor location, shape, area, shoreline length and characteristics of human activities of uninhabited islands.The study to the identification of uninhabited islands and their human activity features is done in this thesis based on national islands database and multi-source remote sensing image data.The major works and contributions of this thesis are as follows:The characteristics of uninhabited islands are deeply analyzed from the size, respective administrative areas and offshore distance of the uninhabited islands. The type of the human activities of the body and their surrounding waters of the uninhabited islands were systematically analyzed according to its geographical location, area, resources, environmental conditions and the adjacent inhabited islands. The uninhabited islands could be classed into traffic, industrial, tourism and entertainment, storage, forestry, animal husbandry, public services, special purposes, and other types. The human activities characteristics of uninhabited islands mainly include dock, roads, bridges, solid dam, housing, artificial beach, small reservoirs, artificial vegetations and water surfaces for breeding, etc.·The study to the identification of uninhabited islands mainly includes the RS identification rules and the coastline extraction of uninhabited islands. Some classical edge detection operators, such as Roberts operator, Sobel operator, Laplace operator, Canny operator, D1 operator, D2 operator and the beamlets transform method are analyzed and compared to extract the coastline. Finally, the area calculation of the uninhabited islands in the 2000 National Geodetic coordinates is discussed. The result shows that 3-meter resolution panchromatic remote sensing data may be used to cover all key regions and 1 meter resolution satellite remote sensing images may be used for the special region. The beamlets transform method and canny operator is more practical to the ectract to the artificial coastline.·This thesis discusses the object-oriented information extraction methods in order to identify the human activity features of uninhabited islands quickly and accurately. Based on the study to the Mean shift and FNES object-oriented multi-scale image segmentation algorithm, the nearest neighbor classifier and fuzzy multi-classifier model are compared to class the type of human activity features of uninhabited islands. The result shows the object-oriented information extraction method can take full advantage of images of spectral, shape and texture information, which could greatly improve the classification accuracy.·The human activities of the surrounding waters of Uninhabited islands could be divided into floating raft culture, land reclamation and reclamation of farming the sea, etc.. In order to take full advantage of the complete texture information of optical remote sensing image, this thesis presents a model-based image fusion method which could be used to the high resolution remote sensing images. The method is compared with HSV, Brovey, Gram schmidt, PCA by using the same region. The result shows the fusion of remote sensing image can be further enhanced display capabilities, improve the classification accuracy. It plays an important role for the calculation of the culture area.·The change comparison method based on the change detection method based on the integration of GIS and RS is proposed in this thesis. Based on the method, the human activities information of uninhabited islands could be extracted through combined with object-oriented multi-scale and fuzzy classification methods in the support of comprehensive integration of remote sensing images and multi-temporal vector data. The comprehensive application test shows that the loss of uninhabited islands in the region is very serious because the affect of the reclamation and other human activities in recent years.·In order to solve the problems of the island management, this thesis has creatively established a technology system to recognize the uninhabited islands and their characteristics of human activity by remote sensing. It could provide reliable technical means for the management of uninhabited islands in China and extract the human activity feature information quickly and easily. The research results have been used in the survey on Marine Geographical Names and the State Island Surveillance Monitoring System project.