Characteristics of the Bohai Sea oil spill and its impacton the Bohai Sea ecosystem

In this paper, ENVISAT ASAR data and the Estuary, Coastal and Ocean Model was&nbsp; used to analyze and compare characteristics of the Bohai Sea oil spill. The oil&nbsp; slicks have spread from the point of the oil spill to the east and north-western&nbsp; Bohai Sea. We make a comparison between the changes caused by the oil spill on&nbsp; the chlorophyll concentration and the sea surface temperature using MODIS data,&nbsp; which can be used to analyze the effect of the oil spill on the Bohai Sea&nbsp; ecosystem. We found that the Bohai Sea oil spill caused abnormal chlorophyll&nbsp; concentration distributions and red tide nearby area of oil spill.</span

Research on Brain and Mind Inspired Intelligence

To address the problems of scientific theory, common technology and engineering application of multimedia and multimodal information computing, this paper is focused on the theoretical model, algorithm framework, and system architecture of brain and mind inspired intelligence (BMI) based on the structure mechanism simulation of the nervous system, the function architecture emulation of the cognitive system and the complex behavior imitation of the natural system. Based on information theory, system theory, cybernetics and bionics, we define related concept and hypothesis of brain and mind inspired computing (BMC) and design a model and framework for frontier BMI theory. Research shows that BMC can effectively improve the performance of semantic processing of multimedia and cross-modal information, such as target detection, classification and recognition. Based on the brain mechanism and mind architecture, a semantic-oriented multimedia neural, cognitive computing model is designed for multimedia semantic computing. Then a hierarchical cross-modal cognitive neural computing framework is proposed for cross-modal information processing. Furthermore, a cross-modal neural, cognitive computing architecture is presented for remote sensing intelligent information extraction platform and unmanned autonomous system

Gottfried Konecny: The photogrammetric and remote sensing trend setter

PREFACE: There are various publications on the 90th birthday of Gottfried Konecny. His involvement in the International Society for Photogrammetry and Remote Sensing (ISPRS) is particularly described by others. Here, his forward-oriented impulses in research and development at the former Institute for Photogrammetry and Engineering Survey of the (Technical) University of Hannover, today Institute for Photogrammetry and Geoinformation, Leibniz University Hannover, and some of his activities supporting developing and other countries by given short-term courses are highlighted. Gottfried Konecny was always one of the first in pushing new technologies. With the analytical plotter AP/C-3, he introduced analytical photogrammetry in Germany. Based on his experience with this not really operational version, he induced the company Zeiss to develop the first really operational analytical plotter Planicomp, which resulted in the end of analog photogrammetric devices and their limitations. At the invitation of Gilbert Hobrough, a mainly hardware-based image correlator was developed for the AP/C-3 in Hannover which anticipated many of today’s applications. Gottfried Konecny initiated remote sensing in Germany. Based on his proposal with the Metric Camera Flight on Spacelab, the then highest resolution civil stereoscopic space images available were generated. Despite limited computer performance at his institute, a digital stereo plotter was developed, using hardware components from the cooperating Swedish company Context Vision, long before digital stereo workstations with increased and affordable computer capacity were possible. Also, in the area of GIS, he too, pushed development in collaboration with companies and administrations. Shortly before the end of his time as head of the institute, and more so after he became emeritus professor, he started a series of educational workshops, particularly in developing countries, but also other countries, to support the development of photogrammetry, remote sensing and GIS. He promoted the use of space imagery for mapping to improve the situation of poorly updated topographic maps. © 2020 Wuhan University. Published by Informa UK Limited, trading as Taylor & Francis Group

Traffic Light Recognition for Real Scenes Based on Image Processing and Deep Learning

Traffic light recognition in urban environments is crucial for vehicle control. Many studies have been devoted to recognizing traffic lights. However, existing recognition methods still face many challenges in terms of accuracy, runtime and size. This paper presents a novel robust traffic light recognition approach that takes into account these three aspects based on image processing and deep learning. The proposed approach adopts a two-stage architecture, first performing detection and then classification. In the detection, the perspective relationship and the fractal dimension are both considered to dramatically reduce the number of invalid candidate boxes, i.e. region proposals. In the classification, the candidate boxes are classified by SqueezeNet. Finally, the recognized traffic light boxes are reshaped by postprocessing. Compared with several reference models, this approach is significantly competitive in terms of accuracy and runtime. We show that our approach is lightweight, easy to implement, and applicable to smart terminals, mobile devices or embedded devices in practice

Identification of Military-related Science and Technology

A proof-of-principle demonstration for extracting military-related technologies from a country's total technology publications has been performed, and applied to the Indian science and technology literature#. The method is general and can be applied to the extraction of any meta-category (e.g., intelligence-relevanttechnologies, infrastructure-relevant technologies, etc) which is not easily obtained from document clustering or factor analysis. The methodology for identifying relevant literature on military science appears to provide credible results. The volume of literature retrieved will vary depending on how strongly relevant is the desired literature. For the same definitions of 'military relevant', the volume of India's literature in the Ei Compendex database was an order of magnitude less than that of the USA or China.Defence Science Journal, 2010, 60(3), pp.259-270, DOI:http://dx.doi.org/10.14429/dsj.60.35

Earth observational research using multistage EOS-like data

This grant is funded as a part of a program in which both research and educational impact are intended. Research work under this grant is directed at the understanding and use of future hyperspectral data such as that from imaging spectrometers. Specifically, the objectives of the work are (1) to prepare suitable means for analyzing data from sensors which have large numbers of spectral bands, (2) to advance the fundamental understanding of the manner in which soils and vegetative materials reflect high spectral resolution optical wavelength radiation, and (3) to maximize the impact of the results on the educational community. Over the life of the grant, the work has thus involved basic Earth science research and information system technique understanding and development in a mutually supportive way, however, more recently it has become necessary to focus the work primarily on areas (1) and (3). During the last year, the level of effort on this grant has been reduced to half its previous value. We have also been advised that this grant will end with the current year, thus this will be the penultimate semiannual progress summary

Lineament Length and Density Analyses Based on the Segment Tracing Algorithm: A Case Study of the Gaosong Field in Gejiu Tin Mine, China

This study used the Segment Tracing Algorithm (STA) to extract lineaments from remotely sensed images. A computer program was then written to calculate the lineament densities and lengths. In Gaosong field, 3,233 lineaments were extracted based on a 200 m × 200 m grid size. The results indicate that most lineaments lengths are between 30 m and 50 m, and the number of lineaments within each cell ranges from 1 to 6. Areas with high distributions exist on both sides of the central region. According to the contour map of lineament length, the maximum lineament length is 380 m, and the minimum length is 30 m. The contours mainly extend in two directions, including NE and NW trends. This is consistent with the prominent NE and NW strike faults that prevail in the mining area. The results are similar to those obtained in the Machishui ore block, which has become a mine production area. High values of lineament length and density in the contour map of Gaosong field may be associated with hydrothermal tin mineralization in the study area. The results of this study potentially provide a new approach to mineral exploration in the early stage of geological prospecting