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Automated Extraction of Forest Burn Severity Based on Light and Small UAV Visible Remote Sensing Images

FORESTS 2022年第10期13卷 1665页

作者： Ye, Jiangxia Cui, Zhongyao Zhao, Fengjun Liu, Qianfei Southwest Forestry Univ Coll Forestry Kunming 650224 Yunnan Peoples R China Chinese Acad Forestry Ecol & Nat Conservat Inst Key Lab Forest Protect Natl Forestry & Grassland Adm Beijing 100091 Peoples R China Henan Prov Inst Geophys Spatial Informat Zhengzhou 450009 Peoples R China

Identification of forest burn severity is essential for fire assessments and a necessary procedure in modern forest management. Due to the low efficiency and labor intensity of the current post-fire field survey in China's Forestry Standards, the limitation of temporal resolution of satellite imagery, and poor objectivity of manual interpretations, a new method for automatic extraction of forest burn severity based on small visible unmanned aerial vehicle (UAV) images is proposed. Taking the forest fires which occurred in Anning city of Yunnan Province in 2019 as the study objects, post-fire imagery was obtained by a small, multi-rotor near-ground UAV. Some image recognition indices reflecting the variations in chlorophyll loss effects in different damaged forests were developed with spectral characteristics customized in A and C, and the texture features such as the mean, standard deviation, homogeneity, and shape index of the length-width ratio. An object-oriented method is used to determine the optimal segmentation scale for forest burn severity and a multilevel rule classification and extraction model is established to achieve the automatic identification and mapping. The results show that the method mentioned above can recognize different types of forest burn severity: unburned, damaged, dead, and burnt. The overall accuracy is 87.76%, and the Kappa coefficient is 0.8402, which implies that the small visible UAV can be used as a substitution for the current forest burn severity survey standards. This research is of great practical significance for improving the efficiency and precision of forest fire investigation, expanding applications of small UAVs in forestry, and developing an alternative for forest fire loss assessments in the forestry industry.

关键词： forest burn severity forestry standards small visible UAV image recognition indices object-oriented method

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object-oriented Contact Detection Approach for Three-Dimensional Discontinuous Deformation Analysis Based on Entrance Block Theory

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INTERNATIONAL JOURNAL OF GEOMECHANICS 2017年第5期17卷 E4016009.1-E4016009.1页

作者： Zheng, Fei Jiao, Yu-Yong Zhang, Xiu-Li Tan, Fei Wang, Long Zhao, Qiang Chinese Acad Sci Inst Rock & Soil Mech State Key Lab Geomech & Geotech Engn Wuhan 430071 Peoples R China Univ Calif Berkeley Dept Civil & Environm Engn 439 Davis Hall Berkeley CA 94720 USA

Compared with two-dimensional (2D) contact cases, three-dimensional (3D) contact problems are more complicated in both contact geometry representation and contact detection. The entrance block theory proposed by Shi lays the foundation for solving contact problems in a uniform format. This paper presents a new contact detection approach for 3D polyhedral blocks with the use of entrance block theory. In this approach, contacts between 3D polyhedra were classified into three categories: finite-contact covers (face to face, edge to face, and parallel edge to edge), single-contact covers (vertex to face, crossing edge to edge, vertex to edge, and vertex to vertex), and basic-contact covers (vertex to face and crossing edge to edge). A finite-contact cover consists of several single-contact covers, and all single-contact covers can be identified as basic-contact covers. Thus, the contact detection process can be fulfilled in three phases: a rough search phase to form a potential contacting block list for all blocks, a delicate search phase to detect the four single-contact covers, and an identification phase to identify basic-contact covers from all single-contact covers. Because contacts happen on boundaries of blocks, which can be regarded as a union of boundaries of 3D block angles, the delicate search can be fulfilled through detection between boundaries of 3D block angles to increase its efficiency. After contact detection, a list of potential contact pairs based on the three contact categories was formed and solved based on two basic-contact covers (i.e., vertex-to-face and crossing edge-to-edge contact covers). The half-edge data structure was applied to represent angles, edges, and polygons in polyhedra. The contact detection algorithm was fulfilled in the framework of 3D discontinuous deformation analysis (DDA), using the object-oriented programming method. In this paper, examples are provided to verify the accuracy of the proposed algorithm in treating vertex-t

关键词： Contact detection Three-dimensional discontinuous deformation analysis object-oriented method Entrance block theory Contact cover First entrance Shortest exit

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Monitoring the Invasion of Spartina alterniflora Using Multi-source High-resolution Imagery in the Zhangjiang Estuary, China

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REMOTE SENSING 2017年第6期9卷 539-539页

作者： Liu, Mingyue Li, Huiying Li, Lin Man, Weidong Jia, Mingming Wang, Zongming Lu, Chunyan Chinese Acad Sci Northeast Inst Geog & Agroecol Key Lab Wetland Ecol & Environm Changchun 130102 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China Jilin Univ Coll Earth Sci Changchun 130061 Peoples R China Indiana Univ Purdue Univ Dept Earth Sci Indianapolis IN 46202 USA Fujian Agr & Forestry Univ Coll Comp & Informat Fuzhou 350002 Peoples R China

Spartina alterniflora (S. alterniflora) is one of the most harmful invasive plants in China. Google Earth (GE), as a free software, hosts high-resolution imagery for many areas of the world. To explore the use of GE imagery for monitoring S. alterniflora invasion and developing an understanding of the invasion process of S. alterniflora in the Zhangjiang Estuary, the object-oriented method and visual interpretation were applied to GE, SPOT-5, and Gaofen-1 (GF-1) images. In addition, landscape metrics of S. alterniflora patches adjacent to mangrove forests were calculated and mangrove gaps were recorded by checking whether S. alterniflora exists. The results showed that from 2003-2015, the areal extent of S. alterniflora in the Zhangjiang Estuary increased from 57.94 ha to 116.11 ha, which was mainly converted from mudflats and moved seaward significantly. Analyses of the S. alterniflora expansion patterns in the six subzones indicated that the expansion trends varied with different environmental circumstances and human activities. Land reclamation, mangrove replantation, and mudflat aquaculture caused significant losses of S. alterniflora. The number of invaded gaps increased and S. alterniflora patches adjacent to mangrove forests became much larger and more aggregated during 2003-2015 (the class area increased from 12.13 ha to 49.76 ha and the aggregation index increased from 91.15 to 94.65). We thus concluded that S. alterniflora invasion in the Zhangjiang Estuary had seriously increased and that measures should be taken considering the characteristics shown in different subzones. This study provides an example of applying GE imagery to monitor invasive plants and illustrates that this approach can aid in the development of governmental policies employed to control S. alterniflora invasion.

关键词： remote sensing Google Earth invasive species smooth cordgrass object-oriented method landscape metrics

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以彩色時間性物件導向裴氏圖爲基礎之自動化製造系統排程方法

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Journal of Industrial and Production Engineering 1998年第3期15卷 269-286页

作者： Li-Chih Wang[a] Shao-Ying Wu[a] [a]Department of Industrial Engineering Tunghai University Box 985 Taichung Taiwan

摘要摘要自動化製造系統(automated manufacturing system / AMS)常會面臨資源衝突(conflict)與死锁(deadlock)情形的發生，如何充分掌握系統動態行爲的特性、事先的偵測與排除死鋇情形，並獲得一良好的作業排程，將直接且迅速的影饗AM... 详细信息

摘要摘要自動化製造系統(automated manufacturing system / AMS)常會面臨資源衝突(conflict)與死锁(deadlock)情形的發生，如何充分掌握系統動態行爲的特性、事先的偵測與排除死鋇情形，並獲得一良好的作業排程，將直接且迅速的影饗AMS之生產縝效，也成爲發展AMS的成敗關鍵。本研究以彩色時間性物件導向裴氏画(colorcd timed object-oricntcd petri net/CTOPN)爲基礎，發展出CTOPN排程演算法，針對經由CTOPN抆式分析及驗證過控制邏輯的AMS進行排程分析，並迅速的獲得一近似製距時問(makespan)最短的現圾排程。CTOPN模式不但具備裴氏圇(petri net)圖形化表逹及控制邏輯數理分析能力，擁有物件導向髙模組化、重複使用和易於維護更新等特性，並同時提供一整合的技術與環境，有效的將建模(modeling)、分析、排程與控制整合於AMS系統的發展與與建構過程中。AbstractResource conflicts and deadlock are two critical problems in an automated manufacturing system (AMS), the successfulness of an AMS is highly depending on if we can coordinate the dynamic behavior in an efficient and effective manner (e.g., detect and avoid deadlock, follow an efficient operations schedule). In this paper, a new paradigm, called CTOPN (colored timed object-oriented Petri net), is employed to model the dynamic behavior of an AMS, then a scheduling algorithm is developed to search et near optimal operations schedule for the AMS modeled by a CTOPN in terms of minimum inakespau. The CTOPN approach owns not only the characteristics of Petri nets (e,g., graphical representation and mathematical analysis capability of the control logic) and object-oriented approach (e.g., the high degree of modularity, flexibility, reusability, maintenanability of the model), but also provides an integrated and consistent environment for modeling, analyzing, scheduling and controlling an ANTS simultaneously.

关键词：物件導向方法裴氏圖作滎排程自動化製造系統 object-oriented method petri net operations scheduling automated inanufacturing systems

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Research on Segmentation Scale of Multi-Resources Remote Sensing Data Based on object-oriented

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Procedia Earth and Planetary Science 2011年 2卷 352-357页

作者： Lian Lian Jianfei Chen School of Geographical Science Guangzhou University Guangzhou 510006 China

To verify a method of choosing the optimal segmentation scale, the Guangzhou Higher Education Mega Center is selected as test area for surface features extraction. Buildings, roads, waters and vegetations are extracted from 4 different resolution images using different scales. It is found that the optimal segmentation scale selected based on standard deviation of the means and mean of standard deviations of image objects’ brightness is almost consistent with the optimal segmentation scale selected based on actual classification. The classification accuracy is related with spatial resolution. But for specific applications, higher resolution doesn’t definitely get better classification accuracy.

关键词： Remote sensing image interpretation object-oriented method segmentation scale optimal scale classification accuracy

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Fine classification of construction land using high-resolution remote sensing images: a case study in planning restricted zone of nuclear power plant

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ARABIAN JOURNAL OF GEOSCIENCES 2017年第22期10卷 495-495页

作者： Sun, Zhong-ping Liu, Suhong Cao, Fei Shi, Yuanli Wang, Chang-zuo Beijing Normal Univ Fac Geog Sci State Key Lab Remote Sensing Sci Beijing 100875 Peoples R China Minist Environm Protect Satellite Environm Ctr Beijing 100094 Peoples R China

Detailed construction land information plays a significant role in monitoring planning restricted zone of nuclear power plant and ecological environment protection. This study focuses on developing fine classifying method of construction land in planning restricted zone of nuclear power plant using high spatial resolution GF(GaoFen)-1 remote sensing images. The object-oriented classification method is used in this study;the important process of which is image segmentation and classification. Multi-scale segmentation method, rule-based decision tree, and the nearest neighbor classifier are used in classifying construction land classes, i.e., road, industrial, and residential. An optimal segmentation scale is crucial to image segmentation in object-oriented classification. Instead of laborious trial-and-error experiments for optimal image segmentation, the change rates of the local variance in the homogeneous region are calculated to get the optimal segmentation scales. Multi-level classification strategy is used in the following classification. Rule-based decision tree is used to classify road and water, vegetation and non-vegetation, and industrial and residential. And the nearest neighbor classifier is used to classify cropland and forest within the vegetation land use type. The accuracy assessment result shows that the overall accuracy is 89.67% and Kappa coefficient is 0.85 for object-oriented classification, which is much higher than pixel-based maximum likelihood classifier (overall accuracy is 79.17% and Kappa coefficient is 0.74) and support vector machine classifier (overall accuracy is 74.16% and Kappa coefficient is 0.68).

关键词： Fine classification Construction land Nuclear power plant Planning restricted zone GF-1 remote sensing image object-oriented method

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Land Cover Status in the Koshi River Basin,Central Himalayas

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Journal of Resources and Ecology 2017年第1期8卷 10-19页

作者： WU Xue GAO Jungang ZHANG Yili LIU Linshan ZHAO Zhilong Basanta PAUDEL Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China University of the Chinese Academy of Sciences Beijing 100049 China

The Koshi River Basin is in the middle of the Himalayas,a tributary of the Ganges River and a very important cross-border *** the basin there are large changes in altitude,habitat complexity,ecosystem integrity,land cover diversity and regional difference and this area is sensitive to global climate *** on Landsat TM images,vegetation mapping,field investigations and 3S technology,we compiled high-precision land cover data for the Koshi River Basin and analyzed current land cover *** found that from source to downstream,land cover in the Koshi River Basin in 2010 was composed of water body（glacier）,bare land,sparse vegetation,grassland,wetland,shrubland,forest,cropland,water body（river or lake） and built-up *** them,grassland,forest,bare land and cropland are the main types,accounting for 25.83%,21.19%,19.31% and 15.09% of the basin＇s area *** composition and structure of the Koshi River Basin land cover types are different between southern and northern *** north slope is dominated by grassland,bare land and glacier;forest,bare land and glacier are mainly found on northern *** slopes contain nearly seven times more grassland than southern slopes;while 97.13% of forest is located on southern *** area on northern slope is 6.67 times than on southern *** vertical distribution of major land cover types has obvious zonal *** cover types from low to high altitudes are cropland,forest,Shrubland and mixed cropland,grassland,sparse vegetation,bare land and water *** results provide a scientific basis for the study of land use and cover change in a critical region and will inform ecosystem protection,sustainability and management in this and other alpine transboundary basins.

关键词： Himalayas Koshi River Basin land cover pattern vertical distribution object-oriented method

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BUILDING HEIGHTS ESTIMATION USING ZY3 DATA - A CASE STUDY OF SHANGHAI, CHINA

BUILDING HEIGHTS ESTIMATION USING ZY3 DATA - A CASE STUDY OF...

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IEEE International Geoscience and Remote Sensing Symposium

作者： Xiaoqin Wang Xiameng Yu Feilong Ling Key Lab. of Spatial Data Mining & Information Sharing of Ministry of Education Spatial Information Research Center of Fujian Province Fuzhou University

ISBN: (纸本)9781479953141

The building heights and the heights' distribution of a city are important aspects of urban remote sensing researches. Building heights are estimation from the shadow on Chinese No.3 resource satellite image (ZY3) in Pudong area of Shanghai, China. The morphological building/shadow indexes (MBI and MSI) derived from remotely sensed data and object-based information extraction methods are used to classify the building and its shadow. Based on the formula derived from the relationship among the sun, the satellite and the building, building heights are calculated. The most of the calculated building heights are reliable. Absolute errors below 3m are about 67.5%, the average relative error is 3.7%, the errors below 5% are about 73.7%. The proposed method could well achieve the building extraction and building heights estimation in high-resolution images.

关键词： Building height Shadow object-oriented method ZY3 data

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Analysis and Classification on Feature for Sole Design

Analysis and Classification on Feature for Sole Design

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作者： Jun Shi Shou-Shan Jiang Xin Zhang Bo-An Ying Tao Wu School of Computer Science & Engineering Xi'an Technological University Xi'an Polytechnic University

In order to realize information share and system integration in sole design,the feature was *** feature information was analyzed in sole,and it included form,location,topology,material,biomechanics,air permeability,comfortableness,assembling and *** sole feature was defined,and it included geometry feature,material feature,biomechanics feature,comfortableness feature,assembling feature and aesthetic *** sole feature was defined by user,and it could be utilized by sole modeling and machining *** sole feature was the user defined feature(UDF),and it was defined as the sole user defined feature(sole UDF).The sole UDF was represented by formula,sole UDF =(ID,Name,Geometry,Attribute,History,Constraint).The sole UDF could be encapsulated,and data base was *** designing sole,one sole UDF could be retrieved to design a sole according to size,parameter and *** sole feature was taken as object,and they were classified and described using object-oriented *** sole-feature-class tree was *** information share and the system integration will can be realized in sole design based on above studies.

关键词： sole information sharing system integration feature UDF object-oriented method

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URBAN BUILT-UP AREA EXTRACTION AND APPLICATION BASED ON GF-2 SATELLITE DATA

URBAN BUILT-UP AREA EXTRACTION AND APPLICATION BASED ON GF-2...

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The ISPRS Technical Commission III Midterm Symposium on "Developments, Technologies and Applications in Remote Sensing"

作者： Chang Xiao Xiaomin Yu Hubei Geomatics Information Center

GF-2 satellite was launched in China on August 19, 2014. It has wide potential applications with the spatial resolution of around 1 meter. In this paper, urban built-up area was extracted and classified based on GF-2 satellite data using object-oriented method. Songbai town of Shennongjia forest region was taken as an example. The results were applied to urban-rural planning and supervision of Songbai town in Shennongjia forest region.

关键词： GF-2 satellite object-oriented method built-up area Shennongjia

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