ENGLISH

6卷/2期

6卷/2期

華藝線上圖書館

Pages:

1-20

論文名稱

影像參數加權統計法 PN 指標於土地利用型高光譜特徵選粹上之研究

Title

Selection of Airborne Hyperspectral Data for Land Covers Classification

作者

林金樹

Author

Chinsu Lin

中文摘要

高光譜資料所記錄的各波段光譜波長範團遠比多光譜資料窄小,資料維度約數十至數百波段,資料量非常龐大,且各波段資料所含光譜資訊同質性偏高,如何慎選具有資訊代表性的少數光譜波段,以達到環境與資源監測目的,是一個非常重要的課題。本文利用1997年農業委員會高光譜遙測計畫所取得 DAIS-3715高光譜資料,分析濱海地區的15種土地利用型,藉以探討高光譜資料的波段選擇問題。研究結果顯示,利用高光譜資料各波段影像的均值與變異數等參數,發展出的影像參數加權統計法-PN指標具有很高的效能,可以精確的篩選DAIS-3715高光譜影像資料特性,使用近紅外光區的 0.96、O.84、0.82µm 以及可見光區的 0.59μm 等四個波段的光譜資訊,即可使訓練樣區和評估樣區之全區分類準確度及 Kappa 同意度係數高於 95% 及 90% ,分類使用的電腦時間可以降低到1/7.5倍的時間。PN指標選定的四個波段對訓練樣區的分類準確度約比全部 24個波段的分類準確度減少 3% ,但其於評估樣區的準確度卻可高出約 3% 。

Abstract

Hyperspectral data have tens to hundreds bands and finer or better spectral, spatial, and radiometric resolution than multispectral data and are hence widely used in land covers researches in recent years. Reducing the dimensionality and keeping the information of hyperspectral data become an important works in applying such great volume and spectral homogeneously information of remote sensing data. This paper uses the DAIS-3715 data, a product of hyperspectral remote sensing program conducted by Committee of Agriculture of ROC in 1997, to classify 15 types of land-cover of seashore area of southern Taiwan. It aims to study the efficiency of proposed statistical based hybrid criterion, PN, in reducing the data dimensionality or selecting heterogeneously spectral bands for seashore land-cover classification. Results showed that PN criterion is excellent in selecting heterogeneous spectral bands of DAIS-3715 data for classifying the seashore land-cover. PN method can choose effectively only four bands, de­noted as band no. 24, 18, 17, and 5 which correspondingly records the near infrared signals of 0.96, 0.84, 0.82 micrometer and visible signal of 0.59 micrometer, to achieve a good accuracy and which is almost identical to the one of the classification by using all of 24 bands. PN method saved about 7.5 times of the computer time of land uses classification. The accuracy assessments for all of the classification with different band combinations that decided by each band selection criterion are assessed from the same sets of training and assessing data. Overall accuracy (OA) and kappa_hat accuracy ( ) of the classification using only four bands selected by PN criterion for both training and assessing data are 95% and 90% respectively. Although, the accuracy of the PN method based classification is less about 3% than the ones of all 24 bands based classification for the training data while it is more about 3% for the assessing data.

關鍵字

高光譜資料、波段選擇、影像參數加權法 PN 指標、土地利用、遙測

Keywords

Hyperspectral data, Band selection, Statistical based hybrid PN criterion, Land-cover, Remote sensing

附件檔名

華芸線上圖書館

N / A

備註說明

200107-6-2-1-20

Pages:

21-40

論文名稱

應用地理資訊系統與數位測繪技術於保安林檢訂之研究

Title

Revision of Protection Forest Using Geographic Information System and Digital Surv-eying Techniques

作者

陳永寬 , 詹進發 , 鄧淑萍

Author

Yeong-Kuan Chen , Jihn-Fa Jan , Shu-Ping Teng

中文摘要

本研究整合 GIS、DTM、GPS 暨全測站式電子經緯儀等數位測繪技術,應用於保安林檢訂,利用 Visual Basic、ArcView Avenue程式語言研發保安林管理系統,提供保安林經營管理空間決策資訊。 研究結果顯示: (1) 與傳統測繪法相較,本法有省時省事、高效率、高精度、自動化之優點、對保安林境界之確認與非依保安林編入目的使用之面積測繪,成效頗為良好。 (2) 所開發之保安林管理系統,整合保安林空間圓形與屬性資料之管理,具有即時圖文查詢、表簿屬性資料更新同步等優點,可提供保安林經營管理之依據,使保安林充分發揮功效,達國土保安、維護人民生命財產安全及良好生活環境品質之目的。

Abstract

In this study, GIS, digital terrain model (DTM), global positioning system (GPS), and digital surveying using total station theodolite were applied to revise the protection forests. The protection forest management system was developed using Visual Basic and ArcView Avenue programming languages, which can provide useful spatial information to facilitate decision making for protection forest management. The results indicate that: (1) Digital surveying technique has advantages of high efficiency, high accuracy, and automation, as compared to traditional surveying method. The technique was found very effective in identifying the boundary of protection forests, and surveying areas that were not used as their original objectives. (2) The protection forest management system developed in this study can integrate spatial information and attribute data, and provide valuable information for protection forest management, which may let the protection forests function well and meet their designated objectives such as protecting soils, human lives and properties, and maintaining high environmental quality.

關鍵字

地理資訊系統、數值地形模型、數位地測、數位圖資、衛星全球定位系統

Keywords

GIS, DTM, digital surveying, digital cartographic data, GPS

附件檔名

華芸線上圖書館

N / A

備註說明

200107-6-2-21-40

Pages:

41-56

論文名稱

多尺度林地分級決策支援系統之研究

Title

A Decision Support System for Multi-scale Forestland Classification

作者

鄭祈全 , 陳永寬 , 王素芬

Author

Chi-Chuan Cheng , Su-Fen Wang , Yeong-Kuan Chen

中文摘要

林地分級為森林生態系經營之首要工作,其分級作業體系除需符合生態原則之外,亦應符合不同經營管理階層之實際需要。本研究旨在建立林業試驗所六龜試驗林之多尺度林地分級決策支援系統,供試驗林經營管理之用,並以所建立之林地分級決策支援系統,探討多尺度分級單元對林地適宜性分析之影響,供森林經營者規劃多尺度林地分級之參考。研究過程除了針對與林地適宜性有關之坡度和土壤因子,研擬準則和建立資料庫與知識庫之外,並以美國林務署所開發的生態系經營決策支援系統為架構,建立林地分級決策支援系統。同時,為探討多尺度分級單元對林地適宜性分析之影響,有關代表分級單元大小之集水區和代表多尺度之基地單元、地景單元、及區域單元等亦分別經由數值地形模型之自動化粹取和多變值統計分析方法之歸併而獲得。 研究結果指出,六龜試驗林之多尺度林地分級決策支援系統,除可視實際需要隨時調整評估區域的範圍或增減相關因子或改變評估準則,迅速有效地分析和評估林地適宜性之外,並可針對不同管理階層之經營需要,將林地分級與不同管理階層間的經營模式結合,因此,本研究所建立之多尺度林地分級決策支援系統,除可提供六龜試驗林林地分級規劃和生態系經營實際應用之外,亦可供未來全國建立本土化之多尺度林地分級決策支援系統和森林生態系經營之參考。

Abstract

Forestland classification is a prerequisite task of ecosystem management. The operational scheme needs to meet the ecological principles and the management requirements of different forestry units. The objectives of this study were to establish a decision support system of multi-scale forestland classification for the Liukuei Experimental Forest, and also to investigate the effect of multi-scale ecosystem units on forestland suitability. The processes included the development of criteria for forestland classification; the establishment of databases and knowledge bases; and the establishment of a decision support system of forestland classification based on the Ecosystem Management Decision Support System (EMDS) developed by US Forest Service. Meanwhile, to investigate the effect of multi-scale ecosystem units on forestland suitability, different watersheds representing different sizes of ecosystems and multi-scale ecosystems (e.g. site, landscape mosaic, and ecoregion) were obtained by the automatic extraction of digital terrain model and multivariate statistical analysis respectively. The result indicates that the developed decision support system can easily analyze and evaluate forestland suitability by adjusting the assessment areas, the variables, and the criteria. It can also adapt to the management requirements of different forestry units, and integrate forestland classification and management requirement together. Therefore, the decision support system of multi-scale forestland classification developed in this study is not only feasible for the forestland planning and ecosystem management of the Liukuei Experimental Forest, but also for the references of island-wide domestic forestland classification and ecosystem management.

關鍵字

林地分級、決策支援系統、多尺度、林地適宜性

Keywords

forestland c1assification, decision support system, multi-scale, forest land suitability

附件檔名

華芸線上圖書館

N / A

備註說明

200107-6-2-41-56

Pages:

57-70

論文名稱

應用三維小波轉換於高光譜影像壓縮之研究

Title

Hyperspectral Image Compression Using Three­dimensional Wavelet Transformation

作者

施鴻冠 , 曾義星 , 徐百輝

Author

Hung-Kuan Shih , Yi-Hsing Tseng , Pai-Hui Hsu

中文摘要

高光譜影像具有豐富的光譜資訊,但其龐大的資料量不利於資料的傳輸,影像壓縮是解決此問題的主要途徑。以目前二維影像壓縮法沿用於高光譜影像,未能有效擠壓波譜資訊之重複性。本文提出三維小波轉換壓縮法,同時探索空間及波譜維度之資訊重複性,達到高效率的高光譜影像壓縮。其步驟有三:三維小波轉換、最佳量化及Huffman編碼。以AVIRIS為實驗影像,探討不同的小波函數、小波分解層數和量化階數,對高光譜影像壓縮的壓縮量及回復品質進行評估分析。實驗成果顯示三維小波轉換壓縮法不但可輕易達到高壓縮比,又能維持原光譜影像在分類辨識上的使用效力。

Abstract

Hyperspectral images provide richer and finer spectral information than traditional multispectral images however the volume of generated data is dramatically increased. Data compression will be essential for economical distribution when spaceborn hyperspectral data are regularly available. Contemporary tech- niques of image compression are mainly designed to explore the redundant information in the 2-D image space. It is awkward when they are applied to hyperspectral data. In this study, a 3-D wavelet transform is proposed to explore useful information in the spatial and spectral dimension simultaneously. The procedure proposed for hyperspectral image compression is mainly divided into three steps: 3-D wavelet transform, optimal quantization and Huffman coding. Various combinations of wavelet functions decomposition levels and quantization intervals were experimented with an AVIRIS image. The decompressed images are evalu- ated objectively and subjectively, based on signal-to-noise ratio (SNR) and classification accuracy measures, respectively. The results indicate that 3-D wavelet transform is efficient for hyperspectral image compres-sion and preserves the capability of the classification applications.

關鍵字

遙感探測、高光譜影像、影像壓縮、及三維小波轉換

Keywords

Remote sensing, Hyperspectral Image, Image Compression, 3-D Wavelet Transformation

附件檔名

華芸線上圖書館

N / A

備註說明

200107-6-2-57-70

Pages:

71-86

論文名稱

「技術短文」小波轉換於 SAR 影像資料萃取之研究

Title

A Research on Extracting Information in SAR Images Using Wavelet Transformation

作者

周建忠 , 夏榮生

Author

Chien-Chung Chou , Jung-Sheng Hsia

中文摘要

合成孔徑雷達(SAR)能在任何時段及不同天候下作業,並記錄被測物體之豐富紋理訊息,使其成為遙感探測不可或缺的工具之一。目前衛載SAR之影像不若衛載光學影像有許多波段資料,所以需藉由其影像特質,在較少波段資訊下亦能發揮其長處及其實用性。本研究以小波轉換之雙重與完全小波轉換將每一波段的 SAR 影像,轉換成不同解析度下具不同方向之紋理特徵影像,如此一張SAR影像便可以產生數張具不同解析度下紋理特性之影像,進而可以藉由分類技術,自動化萃取影像中之資訊。由於一般使用之雙重小波轉換後之影像為原影像之四分之一大小,造成影像尺寸縮小問題,本研究以再取樣方式還原影像大小後再進行影像資訊萃取作為。完全小波轉換沒有影像尺寸縮小問題,便於紋理特徵之萃取與後期分類自動化處理。在空載SAR影像試驗研究成果顯示以雙重小波轉換加上再取樣處理後產生之具不同紋理之多張影像,不僅可以作為影像資料自動萃取之憑藉,其分類整體精度也達到 77.3%之。當使用完全小波轉換時,其分類整體精度更提昇至 85.7% ,顯示小波轉換應用於 SAR 影像之紋理特徵萃取與提昇分類自動化效能之成效。

Abstract

Synthetic Aperture Radar ( SAR ) that operates independently of time and weather condition is capable of recording rich texture information and is becoming one of important tools of remote sensing techniques. The current space-borne SAR system can prove only single-band single-polarization image, which provides less band image than space-borne optical images. Then extracting information in the SAR image has to be carried out in a specific way corresponding to the character of the SAR image. The methods of Dyadic Decomposition wavelet or Overcomplete Decomposition wavelet have been applied to the SAR image in order to produce more images with different features and resolutions for automating information extraction by using classification techniques. Image size is reduced to a quarter of an original image while Dyadic Decomposition wavelet transformation has been applied. In order to extract information automati­cally on the basis of the size of the original image, resampling process is used in this research. However, the resampling process does not need while Overcomplete Decomposition wavelet is applied. An air-bone SAR image has been used in this research and shows that the accuracy of image classification is 77.35% when using Dyadic Decomposition wavelet. But the accuracy of image classification can be promoted to 85.7% when Overcomplete Decomposition wavelet is applied. The efficiency of automatically extracting information in a SAR image on the basis of texture features produced using wavelet-based multi-resolution analysis has been shown.

關鍵字

合成孔徑雷達、雙重小波轉換、完全小波轉換、紋理特徵

Keywords

Synthetic Aperture Radar (SAR), Dyadic Decomposition Wavelet, Overcomplete Decomposition Wavelet, Texture Feature, Multi-Resolution Analysis

附件檔名

華芸線上圖書館

N / A

備註說明

200107-6-2-71-86

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