scholarly journals A NEW GRADUATION ALGORITHM FOR COLOR BALANCE OF REMOTE SENSING IMAGE

Author(s):  
G. Zhou ◽  
X. Liu ◽  
T. Yue ◽  
Q. Wang ◽  
H. Sha ◽  
...  

In order to expand the field of view to obtain more data and information when doing research on remote sensing image, workers always need to mosaicking images together. However, the image after mosaic always has the large color differences and produces the gap line. This paper based on the graduation algorithm of tarigonometric function proposed a new algorithm of Two Quarter-rounds Curves (TQC). The paper uses the Gaussian filter to solve the program about the image color noise and the gap line. The paper used one of Greenland compiled data acquired in 1963 from Declassified Intelligence Photography Project (DISP) by ARGON KH-5 satellite, and used the photography of North Gulf, China, by Landsat satellite to experiment. The experimental results show that the proposed method has improved the accuracy of the results in two parts: on the one hand, for the large color differences remote sensing image will become more balanced. On the other hands, the remote sensing image will achieve more smooth transition.

Author(s):  
M Zhou ◽  
X. Yuan ◽  
L. Sun

Wetland is important natural resource. The main method to monitor the landcover change in wetland natural reserve is to extract and analyze information from remote sensing image. In this paper, the landcover information is extracted, summarized and analyzed by using multi-temporal HJ and Landsat satellite image in Zhalong natural reserve, Heilongjiang, China. The method can monitor the wetland landcover change accurately in real time and long term. This paper expounds the natural factors and human factors influence on wetland land use type, for scientific and effective support for the development of the rational use of wetlands in Zhalong natural wetland reserve.


2014 ◽  
Vol 1073-1076 ◽  
pp. 1881-1885
Author(s):  
Li Hong Li ◽  
Xiu Ming Jia ◽  
Jin Tao Zhang

The classification precision of remote sensing image has always been one of the problems to each scholar. The traditional classification method is based on the spectral information. With the advancement of technology, the resolution of remote sensing image is gradually improving, and texture features included are getting rich, so adding texture characteristics to spectral characteristics for image classification can remedy the shortage of only relying on spectral characteristics. This paper uses experimental area of aerial image with 0.5m resolution in Datong, calculates fractal dimension using differential box-counting model, extracts the spatial texture features, and classifies precisely combining spectral characteristics in maximum likelihood method. Through comparing different classification results based on different characteristics, it show that classification accuracy based on combination of texture characteristics and spectral characteristics is more accurate (92% overall accuracy and kappa=0.91) than the one based on single spectral feature (88% overall accuracy and kappa=0.85) and texture feature (69% overall accuracy and kappa=0.65), which verifies the effectiveness of this method.


Author(s):  
T. Bellone ◽  
L. Mussio ◽  
C. Porporato

<p><strong>Abstract.</strong> In recent decades many Geomatics-based methods have been created to reconstruct and visualize objects, and these include digital photogrammetry, Lidar, remote sensing and hybrid techniques. The methods used to process such data are the result of research straddling the fields of Geomatics and Computer Vision, and employ techniques arising from approaches of analytical, geometric and statistical nature. One of the most fascinating fields of application concerns Architecture, which, moreover, has always depended on Mathematics generally and, more specifically, on Geometry.</p><p> Throughout history the link between Geometry and Architecture has been strong and while architects have used mathematics to construct their buildings, geometry has always been the essential tool allowing them to choose spatial shapes which are aesthetically appropriate.</p><p> Historically, mathematics and philosophy have been interrelated; many philosophers of the past were also mathematicians.</p><p> The link between Philosophy and Architecture is twofold: on the one hand, philosophers have discussed what architecture is, on the other, philosophy has contributed to the development of architecture. We will deal with the ties between Architecture, Geometry and Philosophy over the centuries. Although there are artistic suggestions that go beyond time and space, and there are genial precursors, we can identify, in principle, some epochs: the ancient era, the modern era, and finally the contemporary epoch, from the crisis of positivistic sciences to globalisation.</p>


2021 ◽  
Vol 13 (24) ◽  
pp. 5144
Author(s):  
Baodi Liu ◽  
Lifei Zhao ◽  
Jiaoyue Li ◽  
Hengle Zhao ◽  
Weifeng Liu ◽  
...  

Deep learning has recently attracted extensive attention and developed significantly in remote sensing image super-resolution. Although remote sensing images are composed of various scenes, most existing methods consider each part equally. These methods ignore the salient objects (e.g., buildings, airplanes, and vehicles) that have more complex structures and require more attention in recovery processing. This paper proposes a saliency-guided remote sensing image super-resolution (SG-GAN) method to alleviate the above issue while maintaining the merits of GAN-based methods for the generation of perceptual-pleasant details. More specifically, we exploit the salient maps of images to guide the recovery in two aspects: On the one hand, the saliency detection network in SG-GAN learns more high-resolution saliency maps to provide additional structure priors. On the other hand, the well-designed saliency loss imposes a second-order restriction on the super-resolution process, which helps SG-GAN concentrate more on the salient objects of remote sensing images. Experimental results show that SG-GAN achieves competitive PSNR and SSIM compared with the advanced super-resolution methods. Visual results demonstrate our superiority in restoring structures while generating remote sensing super-resolution images.


Author(s):  
Thomas Schürmann

In 2018, when the last German hard coal mines were closed down, the conditions were relatively favourable, especially in the coal region of Ibbenbüren in Northern Westphalia. This district is marked by small towns and medium-sized enterprises with a relatively low unemployment rate. On the one hand, the shutdown without greater lay-offs was enabled by the co-working of the trade union and the mining company. This, on the other hand, depended to a large extent on external influences, not least on state subsidies and the preceding integration of the German hard coal industry into a rescue company. Furthermore, the relatively smooth transition would not have been possible without the willingness of many miners of covering far distances to other locations. This article is based on narrative interviews conducted before the shutdown of 2018 with miners and other persons involved, focusing on their memories of mining in Ibbenbüren.


2013 ◽  
Vol 357-360 ◽  
pp. 438-443
Author(s):  
Xu Yuan ◽  
Qing Lin Meng

In the thermal environment which influences people's living and working, air temperature near the underlay surface is the most important and direct, namely air temperature 1.5m high. Low altitude infrared remote sensing has the advantages: macro, timely and fast. If we can find the correlation between underlay surface bright temperature and air temperature 1.5m high, though the one and the correlation we can find out the other. Then the relate research on the urban thermal environment will be convenient and efficient. This paper is written for the analysis on the correlation.


1793 ◽  
Vol 83 ◽  
pp. 133-153 ◽  

An instrument which, in one observation, is capable of giving with precision both the right ascension and declination of celestial objects, has always appeared to me one of the desi­derata in astronomy. Though I had often considered the va­rious methods practiced for ascertaining each, and turned it in my mind how I could contrive to make one instrument answer both purposes; I never could satisfy myself in what way to effect the one, without destroying the accuracy of the other; till one evening, at a meeting of our Society in the beginning of 1787, Mr. Ramsden mentioned to me his idea of reading off the divisions of an instrument, by a microscope having a micrometer in the field of view, which, being de­tached from the limb, could examine with accuracy the distance of the nearest division from a fixed point. It occurred to me immediately, that this was the thing I wanted: because a circle attached to the telescope of a transit instrument, and passing in review before such a microscope, or a pair of such microscopes, would answer the purpose. I did not then know, that a microscope of that kind had been ap­plied by the late Due de Chaulnes, to his dividing engine, for determining the divisions; described minutely by him, and published in 1768; a copy of which is in our library. Neither did I then know of the same idea having been the foundation of Roëmer's method of reading off the divisions on his Circulus meridionalis; an account of which was published by Horrebow, in the beginning of this century ; where a reticule of ten squares was made, by trials of its distance from the limb of the instrument, to coincide with a division of ten minutes on that limb. With them I was not acquainted, till after my instrument was already in some for­ wardness. Whether Mr. Ramsden took the first hint from either of them, and improved upon it, I cannot say. He has brought it into use among us: I certainly derived it from him ; and to him I acknowledge myself indebted for it. This method of reading off has, indeed, been applied al­ready with great success to different instruments; but I do not know that it has ever yet been adapted to the transit. Circles of various kinds have been constructed with wonder­ful accuracy, yet all have been formed with another view; and their turning freely in azimuth, seemed to render them less fit for the purpose which I wanted ; i. e. a circle, firmly fixed, and turning truly in the plane of the meridian by means of a transverse axis; with all the adjustments of a transit at the end of the axis itself (which appear to me essential to a due performance); and at the same time with the opposite readings, and all the adjustments of the circles now in use.


2021 ◽  
Vol 9 (12) ◽  
pp. 1318
Author(s):  
Ruirui Hu ◽  
Lijun Yao ◽  
Jing Yu ◽  
Pimao Chen ◽  
Dongliang Wang

In this study, a combination of example-based feature extraction and visual interpretation was applied to analyze the coastline variations in the Guangdong–Hong Kong–Macao Greater Bay Area (GHMGBA) from the past four decades based on the Landsat satellite remote sensing image data from 1987–2018, using ENVI and ArcGIS software. The results showed that the total length of the coastline of the GHMGBA increased in the past four decades, rising from 1291 km in 1987 to 1411 km in 2018. Among these, artificial coastline increased by 450 km, while the other coastline types decreased. The type of coastline that decreased the most was bedrock coastline, by a total of 172 km. The silty coastline disappeared, and almost all of it was converted to artificial coastline. Variations in the coastline of the GHMGBA were mainly connected to human activities and showed an overall trend of advancing towards the ocean. Dynamic monitoring of coastline variations can provide a reference for the protection of natural resources, sustainable marine development and rational planning of the coastal zone.


2021 ◽  
Vol 9 (9) ◽  
pp. 932
Author(s):  
Pan Wang ◽  
Jianzhong Liu ◽  
Yinbao Zhang ◽  
Zhiyang Zhi ◽  
Zhijian Cai ◽  
...  

Recently, cargo ship detection in remote sensing images based on deep learning is of great significance for cargo ship monitoring. However, the existing detection network is not only unable to realize autonomous operation on spaceborne platforms due to the limitation of computing and storage, but the detection result also lacks the directional information of the cargo ship. In order to address the above problems, we propose a novel cargo ship detection and directional discrimination method for remote sensing images based on a lightweight network. Specifically, we design an efficient and lightweight feature extraction network called the one-shot aggregation and depthwise separable network (OSADSNet), which is inspired by one-shot feature aggregation modules and depthwise separable convolutions. Additionally, we combine the RPN with the K-Mean++ algorithm to obtain the K-RPN, which can produce a more suitable region proposal for cargo ship detection. Furthermore, without introducing extra parameters, the directional discrimination of the cargo ship is transformed into a classification task, and the directional discrimination is completed when the detection task is completed. Experiments on a self-built remote sensing image cargo ship dataset indicate that our model can provide relatively accurate and fast detection for cargo ships (mAP of 91.96% and prediction time of 46 ms per image) and discriminate the directions (north, east, south, and west) of cargo ships, with fewer parameters (model size of 110 MB), which is more suitable for autonomous operation on spaceborne platforms. Therefore, the proposed method can meet the needs of cargo ship detection and directional discrimination in remote sensing images on spaceborne platforms.


1975 ◽  
Vol 26 ◽  
pp. 395-407
Author(s):  
S. Henriksen

The first question to be answered, in seeking coordinate systems for geodynamics, is: what is geodynamics? The answer is, of course, that geodynamics is that part of geophysics which is concerned with movements of the Earth, as opposed to geostatics which is the physics of the stationary Earth. But as far as we know, there is no stationary Earth – epur sic monere. So geodynamics is actually coextensive with geophysics, and coordinate systems suitable for the one should be suitable for the other. At the present time, there are not many coordinate systems, if any, that can be identified with a static Earth. Certainly the only coordinate of aeronomic (atmospheric) interest is the height, and this is usually either as geodynamic height or as pressure. In oceanology, the most important coordinate is depth, and this, like heights in the atmosphere, is expressed as metric depth from mean sea level, as geodynamic depth, or as pressure. Only for the earth do we find “static” systems in use, ana even here there is real question as to whether the systems are dynamic or static. So it would seem that our answer to the question, of what kind, of coordinate systems are we seeking, must be that we are looking for the same systems as are used in geophysics, and these systems are dynamic in nature already – that is, their definition involvestime.


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