Vol. 3 No. 1 (2014)

  • Open Access

    Article

    Article ID: 343

    Research and application of terrestrial agricultural remote sensing platform in energy crop biomass monitoring

    by wenjing Tang wenjing Tang

    Remote Sensing, Vol.3, No.1, 2024; 185 Views, 8 PDF Downloads

    DOI: https://doi.org/10.18282/rs.v3i1.343

    based on the impact of the energy crisis , countries to actively promote renewable energy research , in this case , agriculture is back into people's view corner .i century quarter late end , Our country starts developing energy crops . Ground Agricultural remote Sensing platform is a computer technology , database technology ,Network Technology , reason information technology - , new system for Global Positioning System , effective soil survey for crops , Vegetation survey and Identification ,crop yield , disease , Pest Attack investigation , Agricultural eco-environmental monitoring activities , widely used in agriculture . This article combines the features of terrestrial agricultural remote sensing platforms , probing Application of terrestrial agricultural remote sensing platform in energy crop biological monitoring , To promote the monitoring of energy crops in China , Increase the output of energy crops .

  • Open Access

    Article

    Article ID: 240

    A method for Road detection from high resolution

    by na Song na Song

    Remote Sensing, Vol.3, No.1, 2024; 165 Views, 13 PDF Downloads

    DOI: https://doi.org/10.18282/rs.v3i1.240

    In this paper, a road extracting to proposed by combining FLD feature extraction and shape feature. This method has four main steps. Firstly, the color information of labeled the samples is extracted. Then, Fisher linear discriminant is used to implement feature classification to segment the images into two Categories:ro AD and Non-road, according to the information extracted before. After that, the initial road network is extracted by threshold segmentation to the result of according. Finally, the Road shape optimization features and morphological processing are used to remove erroneous extraction and op Timize the extraction results. Experiment results show this proposed method can realize the main road extraction from the remote sensing image with C Olor information.

  • Open Access

    Article

    Article ID: 242

    An Image denoising method combining dt-cwt and Fourth-order PDE

    by Kaili Qi, Huibing Wang, Sida Ouyang, Kuikui Fan, Mengmeng Yang

    Remote Sensing, Vol.3, No.1, 2018; 219 Views, 17 PDF Downloads

    DOI: https://doi.org/10.18282/rs.v3i1.242

    I It is proved that image gray level tends to be piecewise constant in the low order partial differ Ential equation denosing model. Considering the applications of wavelet multi-scale decomposition in image processing, a kind of remote sensing image Deno Ising model combining dual tree complex wavelet transform and fouth order partial differential equation are put forward. Firstly, the noise images are multiscalely decomposted by DT-CWT. Then The low frequency components are reserved and noise in high frequency components of other layer are removed by th E Fourth order PDE model. Finally, the high and low frequency components of the the corresponding layer are reconstructed the final IMA Ge. According to the denoising experiments results of the ZY-3 satellite images which have different noise intensities proved that's average PSNR of results by proposed model increases 1~2 DB and the structural similarity increases as. The denoising model proposed can effectively preserve the image details while removing noise.