4 results for “spectral signature”

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Research ArticleOpen accessIn the keywordsA New Approach in Individual Tree Counting of Nyatoh (Palaquium spp.) Using an Airborne SpectroradiometerKamaruzaman JusoffProblem statement: In Malaysia inadequate data are available to make decisions regarding the sustainable management of Nyatoh (Palaquium spp.). Factual data and estimation of Nyatoh in the lowland dipterocarp forest resources are still lacking or, if available, are not complete, reliable or up to date. The collection and compilation of information and updating of existing data in near real time … …American Journal of Applied Sciences, Vol. 7, Issue 4 · 30 Apr 2010 · 7,955 accessesView PDF Cite

Review ArticleOpen accessIn the abstractChronological Advancement in Image Processing from Lime Stone Mofits to Superpixel ClassificationEr. Sumit Kaur, R. K. BansalImage processing is widely used method for representation and extraction of information. To get the information from the areas and objects which are not possible to be physically contact directly remote sensing image processing is used. While extracting the information from the remote sensed images the major issues that affect the accuracy of the classification is the presence of mixed … …Journal of Computer Science, Vol. 11, Issue 11 · 19 Jan 2016 · 6,778 accessesView PDF Cite

Research ArticleOpen accessIn the abstractPerformance Analysis of Multi Spectral Band Image Compression using Discrete Wavelet TransformR. Kousalyadevi, S. S. RamakrishnanProblem statement: Efficient and effective utilization of transmission bandwidth and storage capacity have been a core area of research for remote sensing images. Hence image compression is required for multi-band satellite imagery. In addition, image quality is also an important factor after compression and reconstruction. Approach: In this investigation, the discrete wavelet transform is used to compress the Landsat5 agriculture … …Journal of Computer Science, Vol. 8, Issue 5 · 6 Mar 2012 · 7,041 accessesView PDF Cite

Research ArticleOpen accessIn the abstractIrrigated and Non-Irrigated Wheat Classification Based on Cultivation Calendar by IHS AlgorithmAshourloo Davood, Matkan Ali Akbar, Aghighi Hossain et al.In order to extract the wheat the bi-temporal Spot images were ordered based on cultivation calendar of wheat and other crops. As the crops reflection properties showed many variations, for precise classification many signatures are needed. Appropriate bands for classification were selected by divergence algorithm. These bands converted to IHS and for recognizing the reflection changes in the cultivated areas, … …American Journal of Agricultural and Biological Sciences, Vol. 3, Issue 3 · 30 Sep 2008 · 7,219 accessesView PDF Cite